{"id":"W6907451068","doi":"10.22008/fk2/cs5lka/js7bmv","title":"w50ac8.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":[0.000859488,0.002737361,0.002101239,0.004128965,0.0007079897,0.002798334,0.00349412,0.002233749,0.2320547],"category_scores_gemma":[0.004929981,0.00128111,0.001222348,0.009635754,0.0004432992,0.00210719,0.001880894,0.001891274,0.2921325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141389,"about_ca_system_score_gemma":0.001889931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04816341,"about_ca_topic_score_gemma":0.06629366,"domain_scores_codex":[0.9991316,0.0001500774,0.00009431301,0.0002686656,0.0001704383,0.0001849104],"domain_scores_gemma":[0.9984196,0.0004047399,0.0001399905,0.000422438,0.0004517065,0.0001615171],"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":[0.00002194714,0.000005846377,0.0001687048,0.0002574321,0.00001331653,0.000006165948,0.00001061925,0.0001850291,0.000025046,0.0002998299,0.9981678,0.0008383275],"study_design_scores_gemma":[0.0001889428,0.000009101509,0.001359942,0.0002061809,0.00001730565,0.00002066992,0.00005717672,0.0003688649,0.0001377631,0.001362486,0.9962494,0.00002215242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002612592,0.00001988457,0.00003796273,0.00002165958,0.00001266397,0.000002604798,0.9991364,0.0002533502,0.0004893607],"genre_scores_gemma":[0.0001577173,0.00003041549,0.0001492911,0.0000217954,0.000005223195,0.00003262066,0.9986866,0.0001733089,0.0007429949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7679453,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}