{"id":"W4238377643","doi":"10.4095/293683","title":"Principal mineral areas of Canada","year":2014,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Mineral; Geography; Computer science; Biology; Ecology; Operating system","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":[0.0003026607,0.0008296283,0.000527169,0.006949773,0.003862325,0.002995642,0.001356406,0.0002925584,0.06812492],"category_scores_gemma":[0.00165032,0.0003744944,0.0003857375,0.01909654,0.0006432564,0.0007446028,0.0009914738,0.0006611963,0.01549989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02433394,"about_ca_system_score_gemma":0.08081968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925085,"about_ca_topic_score_gemma":0.9961047,"domain_scores_codex":[0.9987044,0.00004070604,0.00004858623,0.0001276617,0.0007574601,0.0003211754],"domain_scores_gemma":[0.9976712,0.00005583984,0.00008551846,0.00005718247,0.001885276,0.0002449146],"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":[0.00009625115,0.0000283045,0.01527415,0.000685823,0.00003637408,0.0001826933,0.0009262692,0.0005961672,0.0005148443,0.01500112,0.8819962,0.08466192],"study_design_scores_gemma":[0.00001452079,0.000008295005,0.04714086,0.0001879574,0.00001361646,0.0001191277,0.001562811,0.0003178056,0.0001974682,0.000670682,0.9497334,0.00003330718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01598227,0.005343518,0.001139326,0.001645163,0.0003233539,0.0003591823,0.5911908,0.0009946338,0.3830217],"genre_scores_gemma":[0.1629822,0.01678014,0.01172249,0.0008177069,0.00008914973,0.0005793457,0.3714081,0.0006273212,0.4349937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06812492,"threshold_uncertainty_score":0.2279006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093986660220547,"score_gpt":0.2282266261845303,"score_spread":0.2072867595823248,"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."}}