{"id":"W3107803751","doi":"10.4095/326708","title":"Electromagnetic survey of the southern Glennie area, Saskatchewan, part of NTS 73-I/15","year":2020,"lang":"en","type":"report","venue":"","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003238768,0.000505372,0.0002978664,0.001816036,0.001288653,0.0006054943,0.001051556,0.0003846971,0.006635915],"category_scores_gemma":[0.0006081594,0.0003708818,0.0002129182,0.002901037,0.0003191482,0.0003724152,0.000860587,0.0004453207,0.002270703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005580312,"about_ca_system_score_gemma":0.02219358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9528634,"about_ca_topic_score_gemma":0.9828126,"domain_scores_codex":[0.9997243,0.00003042863,0.00001560975,0.00005668981,0.000101744,0.00007114925],"domain_scores_gemma":[0.9991026,0.00006815743,0.00009303931,0.00006050323,0.0005227923,0.000153041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006634371,0.0005229366,0.7696993,0.0004915973,0.0003407768,0.001697952,0.002465208,0.006156519,0.01691296,0.002206801,0.119155,0.07968752],"study_design_scores_gemma":[0.00006938983,0.00007094937,0.9595625,0.0001185387,0.00004140121,0.0001599125,0.002671416,0.002487656,0.001842616,0.0002004295,0.03274402,0.00003106203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297872,0.0006394162,0.002147705,0.001046733,0.00008598763,0.0005553442,0.1791957,0.0002983901,0.08624347],"genre_scores_gemma":[0.766857,0.001447537,0.004992365,0.0006552616,0.00003917454,0.0005996528,0.06154568,0.00008464823,0.1637787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0471366,"threshold_uncertainty_score":0.09482837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065114264663436,"score_gpt":0.2214449527479152,"score_spread":0.1563306880844792,"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."}}