{"id":"W6907391319","doi":"10.22008/fk2/cs5lka/envsnb","title":"c250acbw.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":["insufficient_payload"],"category_scores_codex":[0.0009889849,0.003240514,0.002247926,0.005691825,0.0009830456,0.003696762,0.004854231,0.002561394,0.3395351],"category_scores_gemma":[0.006097204,0.001354216,0.001591642,0.01232583,0.0005971825,0.001890206,0.002363092,0.0020013,0.432364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487937,"about_ca_system_score_gemma":0.002587646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05343134,"about_ca_topic_score_gemma":0.06982699,"domain_scores_codex":[0.9989439,0.0001635639,0.00009042003,0.000362776,0.0002205898,0.0002189239],"domain_scores_gemma":[0.9976285,0.0006271463,0.0001423686,0.0007071145,0.0006488315,0.0002460107],"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":[0.00001922977,0.000004658119,0.00008640973,0.0001937001,0.000010699,0.000004089306,0.000007463088,0.0001316228,0.000029021,0.0001950764,0.9986541,0.0006638505],"study_design_scores_gemma":[0.0002016931,0.000008253956,0.0009512779,0.0001229766,0.00002162523,0.00002060646,0.00004065057,0.0003858235,0.0001782997,0.001125481,0.9969176,0.00002567981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002667187,0.00001708844,0.00004777493,0.00002242183,0.00001060978,0.000003971224,0.9985871,0.0007099999,0.0005743121],"genre_scores_gemma":[0.0001474012,0.00002445816,0.0001975291,0.00002412658,0.000004834593,0.00003421895,0.9985383,0.0004146407,0.0006146337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6604649,"threshold_uncertainty_score":0.9420729,"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."}}