{"id":"W6888785228","doi":"10.22008/fk2/wp1tr3/hulj1n","title":"wi20vg.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":[0.0007728898,0.003937146,0.002276188,0.005261119,0.0007667938,0.003541667,0.004324047,0.002425143,0.2695782],"category_scores_gemma":[0.00427934,0.001306336,0.0015727,0.01212123,0.0005166474,0.002295539,0.00247289,0.002029149,0.403913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300216,"about_ca_system_score_gemma":0.001867448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0433235,"about_ca_topic_score_gemma":0.06435294,"domain_scores_codex":[0.9991295,0.0001204669,0.0000811252,0.0003014115,0.0001925767,0.0001749306],"domain_scores_gemma":[0.9985754,0.0003036135,0.00009466012,0.0004827678,0.0003854599,0.0001580257],"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":[0.00001875244,0.0000059033,0.00008970029,0.0001987531,0.00001146892,0.000004342098,0.000009006042,0.0001370968,0.00003001737,0.0001965373,0.9983877,0.0009106934],"study_design_scores_gemma":[0.0001775033,0.000009268709,0.0008650394,0.0001309602,0.00002259123,0.00001910031,0.00004615002,0.0004375726,0.0001776106,0.001185308,0.9969062,0.00002278845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002600517,0.00001990646,0.00004915012,0.00002349373,0.00001168553,0.000003916354,0.9983119,0.0008805425,0.0006733301],"genre_scores_gemma":[0.0001192879,0.00002838326,0.0001662041,0.00001890737,0.000004334174,0.00002738517,0.9987615,0.0002825839,0.0005913476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7304218,"threshold_uncertainty_score":0,"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."}}