{"id":"W6945012475","doi":"10.22008/fk2/wp1tr3/se5hl6","title":"w50an1.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":[0.0009200242,0.002871911,0.002324386,0.00442352,0.0007976723,0.002893147,0.003552913,0.002340826,0.2259448],"category_scores_gemma":[0.005058477,0.001410286,0.001239999,0.01018921,0.00048963,0.00219191,0.002075577,0.001935552,0.2721629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250071,"about_ca_system_score_gemma":0.001976548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04999689,"about_ca_topic_score_gemma":0.06978522,"domain_scores_codex":[0.9991177,0.0001452696,0.00009180194,0.0002767485,0.000173034,0.0001954674],"domain_scores_gemma":[0.9983553,0.0004353904,0.0001515429,0.000455183,0.0004277007,0.0001747885],"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":[0.00002261557,0.000006521301,0.0001822663,0.0002743847,0.00001484262,0.000006755345,0.00001268846,0.0002052649,0.00002968593,0.0003218935,0.9979419,0.0009812181],"study_design_scores_gemma":[0.0002048965,0.00001057305,0.001698068,0.0002217702,0.0000196592,0.00002181646,0.00006355842,0.0004546157,0.0001633493,0.001489117,0.9956268,0.00002575581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002675611,0.00001852875,0.00003903713,0.00002240534,0.00001169925,0.000002788398,0.9991572,0.0002575308,0.0004640754],"genre_scores_gemma":[0.0001632487,0.00002878959,0.0001547482,0.00001981427,0.000005336448,0.0000353336,0.9987658,0.0001732965,0.0006534819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7740551,"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."}}