{"id":"W6888761555","doi":"10.22008/fk2/cs5lka/nbptvd","title":"c50z10_8.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":[0.0009189405,0.002406353,0.001822773,0.004311328,0.0009451272,0.002952748,0.003742484,0.002591104,0.2818545],"category_scores_gemma":[0.005871108,0.001205886,0.001342026,0.009621613,0.0005543333,0.00151962,0.002007877,0.001772719,0.2773556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761472,"about_ca_system_score_gemma":0.003387489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08500863,"about_ca_topic_score_gemma":0.1066723,"domain_scores_codex":[0.9990398,0.0001338418,0.00008936777,0.0003214098,0.0001969083,0.0002186742],"domain_scores_gemma":[0.9976815,0.0007466881,0.0001563293,0.0005099588,0.0006862109,0.000219318],"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":[0.0000285689,0.000006163398,0.0001956824,0.0003170571,0.00001476182,0.000006686797,0.00001075603,0.0002101078,0.00003483142,0.0003016679,0.9981946,0.0006791522],"study_design_scores_gemma":[0.0002594898,0.00001028416,0.001924594,0.0002063637,0.00002555439,0.00002196423,0.00005951351,0.0003457928,0.0001989731,0.001038983,0.9958791,0.00002951543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002431584,0.00001338666,0.00002036279,0.0000190221,0.000008864519,0.000002692921,0.9993741,0.0001651139,0.0003721374],"genre_scores_gemma":[0.0001842647,0.00002456946,0.0001183709,0.00002521143,0.000004211293,0.00003205447,0.998843,0.0001366021,0.0006317093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7181455,"threshold_uncertainty_score":0.9428972,"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."}}