{"meta":{"query_hash":"156a34b15922","filters":{"venue":"地球科学：中国地质大学学报"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/156a34b15922","api":"https://metacan.xera.ac/api/v1/cohort?venue=%E5%9C%B0%E7%90%83%E7%A7%91%E5%AD%A6%EF%BC%9A%E4%B8%AD%E5%9B%BD%E5%9C%B0%E8%B4%A8%E5%A4%A7%E5%AD%A6%E5%AD%A6%E6%8A%A5"},"results":[{"id":"W2269676511","doi":"","title":"Principles of Probabilistic Regional Mineral Resource Estimation","year":2011,"lang":"ja","type":"article","venue":"地球科学：中国地质大学学报","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Log-normal distribution; Geology; Mineral resource classification; Copper; Mineralogy; Mathematics; Geography; Statistics; Geochemistry","score_opus":0.07404547706228622,"score_gpt":0.2364447756344398,"score_spread":0.16239929857215357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269676511","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056699757,0.0001758138,0.9977289,0.00013941628,0.000010709452,0.000022227077,0.000052388415,0.00008139288,0.00122223],"genre_scores_gemma":[0.13767809,0.0014604937,0.8561635,0.00021159711,0.00028097798,0.0004969866,0.00046970445,0.000240496,0.0029980706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99391985,0.002981725,0.00034032224,0.001093123,0.0014576362,0.00020738586],"domain_scores_gemma":[0.97772574,0.017995436,0.0010067729,0.0015931793,0.0015155879,0.00016327167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015113287,0.0012613805,0.002043777,0.0038230522,0.0009773741,0.0061494033,0.005144597,0.0017186537,0.0038315332],"category_scores_gemma":[0.0344108,0.0019073935,0.0029188471,0.0039466457,0.0038893376,0.0043791193,0.003943106,0.002624884,0.0008968462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022649236,0.000014087673,0.0012208946,0.00017475044,0.00016616385,0.00012651428,0.0001993145,0.4595637,0.00028202418,0.48403051,0.0014361447,0.05276324],"study_design_scores_gemma":[0.000010341306,0.000015460622,0.00025997483,0.000062021565,0.00002985404,0.00008626977,0.00003788274,0.53145474,0.00017507831,0.461685,0.0061516706,0.000031689848],"about_ca_topic_score_codex":0.007859328,"about_ca_topic_score_gemma":0.0048371437,"teacher_disagreement_score":0.015113287,"about_ca_system_score_codex":0.0026384927,"about_ca_system_score_gemma":0.0020315459,"threshold_uncertainty_score":0.07992762},"labels":[],"label_agreement":null}]}