{"id":"W6907554396","doi":"10.22008/fk2/cs5lka/rqbiui","title":"wi20tf_b.rtl","year":2022,"lang":"es","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":[0.0009004085,0.002730216,0.001779259,0.004084474,0.0007304871,0.00292706,0.003351526,0.002309466,0.2530024],"category_scores_gemma":[0.005685023,0.001196842,0.001233677,0.009274083,0.0004172281,0.001816274,0.002124576,0.001772241,0.3159848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315471,"about_ca_system_score_gemma":0.001996665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04596492,"about_ca_topic_score_gemma":0.05756953,"domain_scores_codex":[0.9991352,0.0001383836,0.00008990984,0.000272265,0.0001873728,0.0001769399],"domain_scores_gemma":[0.9982101,0.0005171627,0.0001359339,0.0004897441,0.0004669349,0.0001801883],"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":[0.00002362175,0.00000708235,0.000144911,0.0002373462,0.00001199129,0.000006118552,0.000009949687,0.0001515199,0.00003159592,0.0002614566,0.9982199,0.000894382],"study_design_scores_gemma":[0.0001894078,0.000009188931,0.00144794,0.0001531287,0.00001888291,0.00002098917,0.00004955324,0.0003583266,0.0001692387,0.001225171,0.9963363,0.00002183598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000244232,0.00001367656,0.00003810946,0.00002403057,0.000008593806,0.000002780762,0.9991183,0.0002814381,0.0004886735],"genre_scores_gemma":[0.000131858,0.00002328355,0.0001303573,0.00002022073,0.000003973299,0.00003344202,0.9988347,0.0001391519,0.0006830033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7469976,"threshold_uncertainty_score":0.8463773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04097497965949726,"score_gpt":0.2764439099263369,"score_spread":0.2354689302668396,"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."}}