{"id":"W6945480206","doi":"10.22008/fk2/cs5lka/phuqu1","title":"w50ac1.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004107632,0.000879594,0.001721779,0.0002995161,0.00058748,0.0001709813,0.00252152,0.0007657121,0.01664654],"category_scores_gemma":[0.001973857,0.0007020939,0.0002906726,0.001269132,0.0008191162,0.0004077919,0.004024695,0.001513435,0.0001146286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005619983,"about_ca_system_score_gemma":0.0001791337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003437172,"about_ca_topic_score_gemma":0.0005935609,"domain_scores_codex":[0.9928656,0.002084831,0.00125213,0.001704447,0.001057791,0.001035251],"domain_scores_gemma":[0.9941482,0.002576459,0.000881642,0.001560749,0.0003912212,0.0004417391],"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":[0.0008724342,0.0008220737,0.1365511,0.0004614418,0.0002836802,0.0007055028,0.00007890842,0.00001378311,0.00002189873,0.0003043406,0.6740019,0.1858829],"study_design_scores_gemma":[0.0008494804,0.002472536,0.3697205,0.00009660431,0.00009734169,0.0001346237,0.00001310303,0.000239001,0.00009814498,0.003167084,0.6219918,0.001119796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01546086,0.02296367,0.1320671,0.0006116768,0.001823321,0.001987212,0.8236185,0.0002963724,0.00117128],"genre_scores_gemma":[0.06864912,0.07094304,0.01729763,0.003172998,0.0007135237,0.0002307979,0.832557,0.0001388117,0.006297038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2331693,"threshold_uncertainty_score":0.999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04366011950326367,"score_gpt":0.2980841499872807,"score_spread":0.2544240304840171,"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."}}