{"id":"W6907500981","doi":"10.22008/fk2/wp1tr3/zkhjh3","title":"wi20cnd_b.rtl","year":2022,"lang":"cs","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":[0.0008376234,0.002606369,0.001744078,0.004392797,0.0008099006,0.002977703,0.003551422,0.002198799,0.2453737],"category_scores_gemma":[0.005612013,0.001239978,0.001302169,0.0101168,0.0004937194,0.001696966,0.002118081,0.001764698,0.2807887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521178,"about_ca_system_score_gemma":0.00254272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06452542,"about_ca_topic_score_gemma":0.08804803,"domain_scores_codex":[0.999129,0.0001288107,0.00008464597,0.0002920181,0.0001833593,0.0001822191],"domain_scores_gemma":[0.9980685,0.0005357247,0.0001385218,0.0005270299,0.000526297,0.0002040067],"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":[0.00002295368,0.000006562111,0.0001788778,0.0002310479,0.00001316848,0.000005757253,0.000009604591,0.0001569983,0.00002891399,0.0002663942,0.9983231,0.0007565693],"study_design_scores_gemma":[0.0002053955,0.000009188485,0.001649522,0.0001481078,0.00002179868,0.00002026585,0.00005512119,0.0003947624,0.0001834582,0.001066927,0.9962217,0.00002370656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002706218,0.00001271097,0.00003068679,0.00002073378,0.000009172447,0.000002820592,0.9992228,0.0002441568,0.0004299259],"genre_scores_gemma":[0.0001464135,0.00002195839,0.0001302656,0.00001971251,0.000003981135,0.00003144618,0.9988499,0.0001380685,0.0006582118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7546263,"threshold_uncertainty_score":0.8208567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044837959751196,"score_gpt":0.2770226648925885,"score_spread":0.2321847051413925,"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."}}