{"id":"W6945300553","doi":"10.22008/fk2/cs5lka/z9ldcd","title":"w50tf4.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":[0.0009068227,0.002832706,0.001817313,0.004570258,0.0007454608,0.002785923,0.003832767,0.002438521,0.2599977],"category_scores_gemma":[0.005822537,0.001148726,0.001509273,0.01015141,0.0005167612,0.001794626,0.002028507,0.001883607,0.3084668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236201,"about_ca_system_score_gemma":0.002279948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04592436,"about_ca_topic_score_gemma":0.06258327,"domain_scores_codex":[0.9990737,0.000145138,0.00009664993,0.0002871319,0.0001977366,0.0001995843],"domain_scores_gemma":[0.9980265,0.0005654663,0.0001366068,0.0005502647,0.0005195467,0.0002014977],"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":[0.00002484704,0.000006623176,0.0001415844,0.0002553718,0.0000131083,0.000006238546,0.000009712616,0.0001908848,0.00003957563,0.0002411741,0.9983181,0.0007527787],"study_design_scores_gemma":[0.0002797396,0.00001360658,0.001492895,0.000170275,0.0000257986,0.0000239883,0.00005998623,0.0005135435,0.0002265196,0.001421514,0.9957452,0.00002689215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003220285,0.00001385905,0.0000410623,0.00002472872,0.00001139049,0.000003465086,0.9990439,0.000385858,0.0004435008],"genre_scores_gemma":[0.0001532394,0.00002165938,0.0001388002,0.00002026374,0.000004241826,0.00002937411,0.9989098,0.0001895722,0.0005329985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7400023,"threshold_uncertainty_score":0,"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."}}