{"id":"W6907434331","doi":"10.22008/fk2/wp1tr3/x1mwfz","title":"w250tf.rtl","year":2021,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.001014535,0.003637829,0.002683766,0.004511994,0.0009631238,0.003306597,0.004467595,0.002906591,0.2815773],"category_scores_gemma":[0.005435732,0.001464143,0.001652351,0.009736863,0.0005717326,0.002588816,0.002741943,0.002227169,0.4310288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120988,"about_ca_system_score_gemma":0.001678929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03105356,"about_ca_topic_score_gemma":0.04184348,"domain_scores_codex":[0.998895,0.0001930042,0.0001022647,0.000382117,0.0002116127,0.0002160864],"domain_scores_gemma":[0.9981964,0.0004721596,0.0001255084,0.0006027977,0.0004186742,0.0001844321],"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":[0.00002156179,0.000006883764,0.00009412954,0.0002249088,0.00001127754,0.000005976123,0.000010468,0.0001527168,0.00003353294,0.0002245083,0.9983097,0.0009042185],"study_design_scores_gemma":[0.0002118009,0.00001323851,0.001047261,0.0001766691,0.00001837649,0.00002775958,0.00005407062,0.0004740297,0.0002061622,0.001613921,0.9961295,0.00002714944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000261997,0.00002168161,0.00006127779,0.00002533697,0.00001481412,0.000003855386,0.9985175,0.0007493709,0.0005799698],"genre_scores_gemma":[0.0001225007,0.00002574651,0.0001739683,0.00002249071,0.000006072369,0.000035468,0.9987581,0.0002765296,0.0005791488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7184227,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04658591924462772,"score_gpt":0.2760015378771337,"score_spread":0.229415618632506,"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."}}