{"id":"W6963654024","doi":"10.22008/fk2/wp1tr3/er7cod","title":"c50vgbw1.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":[0.001025776,0.003470067,0.00223672,0.005463971,0.000997151,0.0034957,0.004402854,0.003177042,0.2433591],"category_scores_gemma":[0.006200199,0.001295719,0.001607587,0.01220189,0.0006385338,0.001970304,0.002288491,0.002201782,0.2991257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760047,"about_ca_system_score_gemma":0.002987001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0664965,"about_ca_topic_score_gemma":0.08687069,"domain_scores_codex":[0.9988839,0.0001687859,0.00009898691,0.0003782763,0.0002392373,0.0002308809],"domain_scores_gemma":[0.9976354,0.0006950636,0.0001431331,0.0006418345,0.0006561944,0.0002282521],"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":[0.00002215301,0.000005797286,0.0001366324,0.0002596364,0.00001333609,0.000005500838,0.00000937304,0.000202109,0.00003110508,0.0002271183,0.9984429,0.0006441551],"study_design_scores_gemma":[0.0002453777,0.00001043178,0.001432716,0.0002114056,0.00002932442,0.00002693537,0.00005753983,0.0005833249,0.000203566,0.001387622,0.9957783,0.00003347242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002760309,0.00001903545,0.00003453603,0.00002421929,0.00001007718,0.00000325379,0.9990552,0.0004298868,0.0003961474],"genre_scores_gemma":[0.0001306394,0.00002369341,0.0001418183,0.00002037433,0.000003476339,0.00002529422,0.9990751,0.0002102095,0.0003693788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7566409,"threshold_uncertainty_score":0.8141172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526660351752165,"score_gpt":0.278450120105301,"score_spread":0.2331835165877793,"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."}}