{"id":"W6907732882","doi":"10.22008/fk2/cs5lka/b8tcgl","title":"c50tf6.rtl","year":2022,"lang":"bpy","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":[0.0009376237,0.002655204,0.002160677,0.00434089,0.0008340903,0.002843395,0.003101193,0.002375735,0.2605303],"category_scores_gemma":[0.006043645,0.00115954,0.001278721,0.009980827,0.0005007455,0.001638857,0.001858282,0.001934096,0.3125257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250898,"about_ca_system_score_gemma":0.002391411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04472938,"about_ca_topic_score_gemma":0.05417966,"domain_scores_codex":[0.9990206,0.00016041,0.0000917727,0.00031303,0.0002099206,0.0002041923],"domain_scores_gemma":[0.9979268,0.0005859426,0.0001642187,0.0005150344,0.0005839066,0.0002241608],"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":[0.00002735339,0.00000638958,0.000151191,0.0002971643,0.00001321967,0.000006148409,0.000009085253,0.0001972038,0.00003468586,0.0002199711,0.9981993,0.0008383659],"study_design_scores_gemma":[0.0002569739,0.00001297013,0.0018741,0.0001754015,0.0000234077,0.00002694865,0.00004283686,0.0004030185,0.000174832,0.001058465,0.9959263,0.00002489055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002462577,0.00001766807,0.00003223921,0.00002026367,0.00001015604,0.000003007776,0.9992012,0.0003058611,0.0003850144],"genre_scores_gemma":[0.0001505725,0.00002648869,0.0001449914,0.00002018809,0.000005267655,0.00002806177,0.9989875,0.0001729468,0.0004638626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7394697,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723147467160219,"score_gpt":0.2790960096048876,"score_spread":0.2318645349332854,"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."}}