{"id":"W6907468518","doi":"10.22008/fk2/wp1tr3/kihki5","title":"c50vg8.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":[0.0009469353,0.003329096,0.002195876,0.005028178,0.0008667388,0.003227664,0.004290648,0.002889195,0.2481761],"category_scores_gemma":[0.005483319,0.0012117,0.001629708,0.01108445,0.0005954732,0.001861267,0.002082652,0.002118927,0.3083064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517038,"about_ca_system_score_gemma":0.002709356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06157545,"about_ca_topic_score_gemma":0.08114785,"domain_scores_codex":[0.9989583,0.0001555226,0.0000954608,0.0003412925,0.0002256868,0.0002236447],"domain_scores_gemma":[0.9979316,0.0005750332,0.0001314709,0.0005695737,0.000582299,0.000210026],"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":[0.00002125904,0.000005194694,0.0001181567,0.0002438113,0.00001236997,0.000005007566,0.000007914453,0.0002028988,0.00002904361,0.0002137605,0.9984739,0.0006665731],"study_design_scores_gemma":[0.0002562143,0.0000104267,0.00121854,0.0001949479,0.00002663952,0.00002395508,0.00004841528,0.0005728788,0.0001788714,0.001263601,0.9961752,0.00003034395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002510457,0.00001884101,0.00003582755,0.00002533672,0.00001193196,0.000003470828,0.998946,0.0004811728,0.0004523109],"genre_scores_gemma":[0.0001394372,0.00002553287,0.0001531722,0.00002383452,0.000004411214,0.0000264024,0.9989719,0.0002293122,0.0004259413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7518239,"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."}}