{"id":"W6907557748","doi":"10.22008/fk2/cs5lka/pkfzdh","title":"c50vgbw2.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":[0.0009929962,0.003604785,0.002256578,0.005383942,0.0009632659,0.003573895,0.004474224,0.003182965,0.220211],"category_scores_gemma":[0.005759285,0.001270339,0.001688446,0.01206843,0.000642188,0.001989379,0.002274132,0.002242133,0.2861055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165979,"about_ca_system_score_gemma":0.002797667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06335702,"about_ca_topic_score_gemma":0.08185832,"domain_scores_codex":[0.9988897,0.0001685251,0.0000971418,0.0003759261,0.0002415387,0.0002272115],"domain_scores_gemma":[0.9978799,0.0005955484,0.0001298933,0.0005911309,0.0005905404,0.0002130441],"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":[0.00002230377,0.00000582512,0.0001323204,0.0002484811,0.00001431274,0.000005775084,0.000008767588,0.0002180744,0.00003165533,0.0002135184,0.9984453,0.0006535573],"study_design_scores_gemma":[0.0002477609,0.00001030007,0.0014137,0.0002014797,0.00003082659,0.00002843773,0.00005749348,0.0006656893,0.0002120184,0.001399702,0.9956976,0.00003510583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000299858,0.00002122699,0.00003838297,0.00002585455,0.00001136049,0.000003459957,0.998976,0.0004889546,0.0004048909],"genre_scores_gemma":[0.0001370182,0.00002456781,0.0001492951,0.00002094983,0.000003919896,0.00002564852,0.9990566,0.0002198879,0.000362017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.779789,"threshold_uncertainty_score":0.7366791,"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."}}