{"id":"W6888769022","doi":"10.22008/fk2/cs5lka/ktdshf","title":"christvg.txt","year":2022,"lang":"en","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":["insufficient_payload"],"category_scores_codex":[0.0008886009,0.002377511,0.001666254,0.004267146,0.0007620815,0.004216238,0.002673502,0.001640832,0.3138212],"category_scores_gemma":[0.004776886,0.001053824,0.0009522253,0.01006361,0.0004235346,0.002464599,0.002458491,0.001727743,0.4141021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254059,"about_ca_system_score_gemma":0.001840201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03048613,"about_ca_topic_score_gemma":0.0501221,"domain_scores_codex":[0.9990632,0.0001474069,0.0001030225,0.0003264621,0.0001945071,0.000165463],"domain_scores_gemma":[0.9982519,0.0004891249,0.0001486358,0.0004833257,0.0004561587,0.0001709271],"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":[0.00001663557,0.000003485799,0.0001183244,0.0001880231,0.000006957866,0.000004574299,0.00001458478,0.00008489392,0.00001829608,0.0004438606,0.9980053,0.001094935],"study_design_scores_gemma":[0.00004772462,0.000003765869,0.0006092005,0.0001153669,0.000007571402,0.00001146037,0.00004217008,0.0001040144,0.00007206443,0.001032344,0.9979438,0.00001044767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002330952,0.00002245457,0.00004794558,0.00003094144,0.00001121052,0.000003573284,0.997831,0.0004447056,0.001584777],"genre_scores_gemma":[0.0001787262,0.0000541636,0.0002229571,0.00003478584,0.000006769943,0.00003571794,0.9972659,0.0003616098,0.001839412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6861788,"threshold_uncertainty_score":0.9787508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04190928977579551,"score_gpt":0.2758125455193854,"score_spread":0.2339032557435899,"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."}}