{"id":"W6888833955","doi":"10.22008/fk2/wp1tr3/dn8fqe","title":"w50tf3.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":[0.0009009762,0.002872934,0.001829229,0.004441581,0.000746967,0.002885919,0.003776789,0.002401894,0.2647374],"category_scores_gemma":[0.005846875,0.001156393,0.001533407,0.01006132,0.0005121288,0.00181712,0.002115393,0.001871405,0.3175912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228197,"about_ca_system_score_gemma":0.002248725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04723455,"about_ca_topic_score_gemma":0.06475136,"domain_scores_codex":[0.9990645,0.0001436508,0.00009866285,0.0002917958,0.0002028839,0.0001985102],"domain_scores_gemma":[0.998021,0.0005662553,0.0001369226,0.0005548514,0.0005186182,0.0002023315],"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":[0.00002400681,0.000006190729,0.0001372097,0.0002472576,0.00001312142,0.000006310724,0.000009903452,0.0001872108,0.00003871088,0.0002361357,0.9983485,0.0007455306],"study_design_scores_gemma":[0.0002688072,0.00001290543,0.001437569,0.0001668107,0.00002540278,0.00002459099,0.00005967881,0.0005217848,0.0002248499,0.001445749,0.9957846,0.00002722629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002974557,0.00001311988,0.00004085705,0.00002384814,0.00001082504,0.00000330477,0.9990301,0.0004090294,0.0004391749],"genre_scores_gemma":[0.0001488372,0.00002092038,0.0001380474,0.00002038274,0.000004148783,0.00002854626,0.9989278,0.0002022257,0.0005090983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7352626,"threshold_uncertainty_score":0,"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."}}