{"id":"W6945214634","doi":"10.22008/fk2/cs5lka/o5mjsh","title":"wiz10a4.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":[0.0008754489,0.002955538,0.001876346,0.005204166,0.0007848077,0.003031633,0.004055836,0.002324535,0.2322117],"category_scores_gemma":[0.005932858,0.001261528,0.001511224,0.01146893,0.0004946447,0.001718539,0.002200243,0.001959869,0.2857023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424636,"about_ca_system_score_gemma":0.002552138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05622339,"about_ca_topic_score_gemma":0.08274505,"domain_scores_codex":[0.9990513,0.0001439536,0.0000988912,0.0002891765,0.0002102707,0.0002063898],"domain_scores_gemma":[0.9980145,0.0005519011,0.0001568573,0.0005348778,0.0005448674,0.0001969991],"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":[0.00002248135,0.000006666097,0.0001918925,0.0002374802,0.00001422167,0.000006011294,0.000009618396,0.0001644248,0.00003292625,0.0002449191,0.9983146,0.0007547446],"study_design_scores_gemma":[0.0002428131,0.0000106394,0.001768777,0.0001498917,0.00002713654,0.00002395508,0.00006188419,0.0004634209,0.0002013327,0.001247721,0.9957765,0.00002603689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000296996,0.00001451959,0.00003660503,0.00002320123,0.000008960795,0.000003203714,0.9991997,0.0003297404,0.0003544535],"genre_scores_gemma":[0.000140479,0.00002188595,0.0001343774,0.00001815759,0.0000037806,0.00003324198,0.9989756,0.0001412139,0.0005313273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7677883,"threshold_uncertainty_score":0.7768255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0446035847862957,"score_gpt":0.2775827529575456,"score_spread":0.2329791681712499,"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."}}