{"id":"W6888759243","doi":"10.22008/fk2/cs5lka/yzzlns","title":"w250vg.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008317338,0.003800562,0.002526568,0.005046674,0.0007919989,0.003754156,0.004760371,0.002593454,0.2829014],"category_scores_gemma":[0.004114169,0.001460957,0.001725247,0.01124762,0.0005582005,0.002114768,0.002375846,0.002081774,0.4309747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121193,"about_ca_system_score_gemma":0.001743507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03673211,"about_ca_topic_score_gemma":0.05253374,"domain_scores_codex":[0.9991162,0.0001341806,0.00007483105,0.0003162582,0.00018635,0.0001721706],"domain_scores_gemma":[0.9986994,0.0003066439,0.00008595363,0.0004335658,0.0003300912,0.0001442658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001970203,0.000005849549,0.00008837363,0.000211249,0.00001418997,0.000004836044,0.000009328584,0.0001747631,0.00003413283,0.0002152645,0.9983447,0.0008775337],"study_design_scores_gemma":[0.0002233291,0.00001141282,0.0009371241,0.0001433803,0.00002817094,0.00002302572,0.00004519215,0.0005306537,0.0001998252,0.001471346,0.996358,0.00002854068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002956439,0.0000226595,0.00006519644,0.0000247939,0.00001374697,0.00000411639,0.997963,0.001126942,0.0007500891],"genre_scores_gemma":[0.0001432288,0.00002950295,0.0002050539,0.00002217712,0.000005308558,0.00002914183,0.9984624,0.0004491174,0.0006540702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7170986,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}