{"id":"W6944946918","doi":"10.22008/fk2/wp1tr3/wwwgly","title":"c50vgbw8.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":[0.0009456051,0.003653052,0.002676381,0.004979216,0.0009427826,0.003263147,0.004312376,0.003086358,0.2136721],"category_scores_gemma":[0.005211773,0.001422153,0.00146492,0.01141786,0.0005993033,0.002250479,0.002249938,0.002171025,0.3003028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484189,"about_ca_system_score_gemma":0.002246387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05598586,"about_ca_topic_score_gemma":0.0725002,"domain_scores_codex":[0.9989832,0.0001568713,0.00009083066,0.0003393759,0.0002092163,0.0002204063],"domain_scores_gemma":[0.998314,0.0004592226,0.0001183491,0.000480614,0.0004555555,0.0001723011],"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":[0.00002294683,0.000006057334,0.0001379859,0.0002711969,0.00001403017,0.000006423742,0.00001230996,0.0002180563,0.00003132362,0.0002448577,0.9981415,0.000893251],"study_design_scores_gemma":[0.000208615,0.000009767771,0.001335944,0.0002317166,0.00002250719,0.00002692979,0.00006015458,0.0005525709,0.0001878475,0.001475298,0.9958569,0.00003175218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002676427,0.00002329686,0.00004067681,0.00002168481,0.00001067285,0.000003073973,0.9990025,0.0004605124,0.0004108557],"genre_scores_gemma":[0.0001273123,0.00002692105,0.0001588685,0.00001755064,0.000003926683,0.00002938372,0.9990433,0.0002085309,0.000384179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7863278,"threshold_uncertainty_score":0.7148045,"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."}}