{"id":"W6888802969","doi":"10.22008/fk2/cs5lka/pgs1t6","title":"caca4.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":[0.001260785,0.004045885,0.002459636,0.00857395,0.001243994,0.004411334,0.004738381,0.003943604,0.3512795],"category_scores_gemma":[0.009651775,0.001569074,0.002364804,0.01558352,0.0007630257,0.001837189,0.002226935,0.002653496,0.3969128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926485,"about_ca_system_score_gemma":0.004276405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07285807,"about_ca_topic_score_gemma":0.0861963,"domain_scores_codex":[0.9985916,0.0002203753,0.0001353511,0.0004439706,0.0003147548,0.0002939472],"domain_scores_gemma":[0.9956862,0.001342307,0.0003169439,0.001026224,0.001097518,0.0005308216],"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":[0.00003495735,0.000008854031,0.0001620619,0.0003573339,0.00001696603,0.000006282778,0.00001376579,0.0002143322,0.00003657246,0.000226014,0.9981832,0.0007395549],"study_design_scores_gemma":[0.0003913719,0.0000161709,0.001482813,0.0002337382,0.00004442503,0.00002531737,0.00007281076,0.0005534643,0.0001923164,0.001417154,0.9955279,0.00004239741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002823119,0.00002365114,0.00002750302,0.00002466884,0.00001204417,0.000004495829,0.9990815,0.0003797604,0.0004181701],"genre_scores_gemma":[0.0001731041,0.00003578384,0.0001889914,0.0000341191,0.000006882437,0.00005370278,0.9985552,0.0002638173,0.0006882396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6487205,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485999282488852,"score_gpt":0.2784874638005771,"score_spread":0.2336274709756886,"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."}}