{"id":"W7110568985","doi":"","title":"REUNITING THE CANADIAN NATIONAL MINERAL COLLECTION: COLLECTION #1 - MOVING RADIOACTIVE MINERALS","year":2019,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineral; Radionuclide; Mineral resource classification; Natural mineral","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008625201,0.001721592,0.002216319,0.01687202,0.01036279,0.009223908,0.004770341,0.002965984,0.2352317],"category_scores_gemma":[0.02541068,0.001454517,0.001811218,0.02016108,0.002526243,0.003875096,0.005259415,0.004325045,0.1933029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03853841,"about_ca_system_score_gemma":0.17744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9536232,"about_ca_topic_score_gemma":0.9623458,"domain_scores_codex":[0.9895922,0.0002909882,0.000413979,0.0008872063,0.007527546,0.001288042],"domain_scores_gemma":[0.956841,0.00109722,0.0004993063,0.005853548,0.03319689,0.002512179],"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":[0.00007737944,0.00002219221,0.0008394585,0.0001398631,0.0000152014,0.00003297885,0.0001115559,0.00008522339,0.0006352349,0.004160412,0.9760219,0.01785852],"study_design_scores_gemma":[0.00001215525,0.00000397333,0.002974304,0.00007650556,0.00001062645,0.0000203955,0.00009847023,0.00007587711,0.000905537,0.0006241669,0.9951665,0.00003148456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003754811,0.001441029,0.006897683,0.008234361,0.005532345,0.0008935239,0.7352143,0.01059478,0.2274372],"genre_scores_gemma":[0.01046704,0.002126853,0.02508365,0.002437397,0.0005714379,0.0006594278,0.5393858,0.01481732,0.4044511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2352317,"threshold_uncertainty_score":0.7869285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083180251801138,"score_gpt":0.2597990021284574,"score_spread":0.238967199610446,"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."}}