{"id":"W2982101676","doi":"10.4095/212477","title":"Ternary radioelement map, Saskatchewan, NTS 74N/6","year":2001,"lang":"en","type":"report","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ternary operation; Computer science; Programming language","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":[0.0002782649,0.0005619903,0.0002587158,0.003105125,0.001696532,0.0007820257,0.001066997,0.0003412061,0.02169249],"category_scores_gemma":[0.0005690991,0.0003245497,0.0001588668,0.004101404,0.0003511096,0.0005418634,0.0005842937,0.0003965096,0.006448381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005400985,"about_ca_system_score_gemma":0.01391988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8436006,"about_ca_topic_score_gemma":0.9536428,"domain_scores_codex":[0.9997949,0.000009635994,0.000006917734,0.00003901171,0.000108869,0.00004069751],"domain_scores_gemma":[0.9990471,0.00003999667,0.00004366536,0.00004547308,0.0007424969,0.00008130874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001589687,0.0004023006,0.197096,0.0006975883,0.0001674197,0.001538419,0.001662391,0.01282249,0.131519,0.006656044,0.2693932,0.3764555],"study_design_scores_gemma":[0.0001437086,0.0001652323,0.5786466,0.0001824683,0.0001217801,0.0004259065,0.003586628,0.01077924,0.06596669,0.002203081,0.3376504,0.0001282391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3888229,0.0007651929,0.01825111,0.001234129,0.0001584769,0.0007724228,0.2797167,0.003515243,0.3067639],"genre_scores_gemma":[0.4617437,0.001033214,0.03145924,0.0003098946,0.00003171127,0.0005341717,0.08716628,0.0004483508,0.4172734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563994,"threshold_uncertainty_score":0.3146409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202530737817597,"score_gpt":0.2557626741027164,"score_spread":0.2355096003209567,"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."}}