{"id":"W6945112607","doi":"10.22008/fk2/wp1tr3/p0ws23","title":"w50z10bw8.rtl","year":2022,"lang":"fr","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":[0.0008458078,0.002373738,0.001757524,0.003811404,0.0006592959,0.002536822,0.002809343,0.00195459,0.2004656],"category_scores_gemma":[0.004330437,0.001093546,0.001112363,0.00844528,0.0004187514,0.001439806,0.0017688,0.001472422,0.2483457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024461,"about_ca_system_score_gemma":0.001749355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04995057,"about_ca_topic_score_gemma":0.07301392,"domain_scores_codex":[0.9992155,0.0001286186,0.00007776437,0.0002564009,0.0001548449,0.0001668332],"domain_scores_gemma":[0.9986815,0.0003462627,0.0001274488,0.000343237,0.000367278,0.0001342794],"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":[0.0000261164,0.000006686293,0.0002565325,0.0003088727,0.00001919862,0.000008102692,0.00001543816,0.000237328,0.00004773316,0.0003276876,0.9976302,0.001116114],"study_design_scores_gemma":[0.0002095043,0.000009957043,0.002254271,0.0001864365,0.00002475269,0.00002047219,0.00007106501,0.0003677779,0.0001767138,0.001183672,0.9954715,0.00002398317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003515008,0.00001668595,0.00004383468,0.00002203014,0.00000928093,0.000002817223,0.9992369,0.0001986826,0.0004344852],"genre_scores_gemma":[0.0002014596,0.00002834858,0.0001736422,0.00001938996,0.000004388339,0.00003343837,0.9986225,0.0001488078,0.0007679416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7995344,"threshold_uncertainty_score":0.6706241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04553673280496227,"score_gpt":0.2736657331203128,"score_spread":0.2281290003153505,"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."}}