{"id":"W6944907701","doi":"10.22008/fk2/cs5lka/vfhg0j","title":"w50ac13.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":[0.0009766844,0.003202785,0.002510815,0.004770067,0.0008563395,0.003140656,0.004141364,0.002679169,0.2428304],"category_scores_gemma":[0.00520859,0.001469761,0.001440631,0.0105881,0.000518845,0.002379402,0.002193236,0.002010016,0.3213926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242711,"about_ca_system_score_gemma":0.001987826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04786416,"about_ca_topic_score_gemma":0.06503873,"domain_scores_codex":[0.9989806,0.000169233,0.0001030101,0.000316306,0.0002056997,0.0002251381],"domain_scores_gemma":[0.9982411,0.0004535737,0.0001451319,0.0005052959,0.000475953,0.0001788922],"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":[0.00002227371,0.000006197916,0.0001541658,0.0002556533,0.00001450509,0.000006352712,0.00001145232,0.0002001892,0.00003031924,0.0002874464,0.998149,0.0008623553],"study_design_scores_gemma":[0.0002151646,0.00001059574,0.001402126,0.000199724,0.00002022297,0.00002268802,0.00006008681,0.0004608323,0.0001773941,0.001591948,0.9958115,0.00002790171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002399622,0.00001951124,0.00004352909,0.00002074922,0.00001182034,0.000002864401,0.9990667,0.0003636281,0.0004473892],"genre_scores_gemma":[0.0001433006,0.00002610178,0.0001591898,0.0000191919,0.000005100861,0.00003208942,0.998838,0.0002065078,0.0005705776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7571696,"threshold_uncertainty_score":0.8123487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647142055037561,"score_gpt":0.2759080484340898,"score_spread":0.2294366278837142,"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."}}