{"id":"W2982076777","doi":"10.4095/299774","title":"A geochemical characterization of southwestern Ontario's breathing well region","year":2017,"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":"Characterization (materials science); Geology; Breathing; Geography; Medicine; Materials science; Nanotechnology; Anatomy","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":[0.00008457779,0.0001837632,0.0002031091,0.001097664,0.001217243,0.0005861947,0.0003441153,0.0001954357,0.0008320161],"category_scores_gemma":[0.0002548358,0.0001243421,0.0001685499,0.001774648,0.0003775145,0.0001835972,0.0003030228,0.0001093731,0.0001274252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004269744,"about_ca_system_score_gemma":0.004574364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9170617,"about_ca_topic_score_gemma":0.9772567,"domain_scores_codex":[0.9998052,0.00000441577,0.000008705102,0.00003858439,0.00009599802,0.00004724208],"domain_scores_gemma":[0.9997026,0.00001133464,0.00006623187,0.00001193768,0.0001632907,0.00004451413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001195925,0.00002783994,0.9137267,0.0001082147,0.00002510068,0.0005096968,0.002887974,0.0008676368,0.0642461,0.0002066287,0.0007118638,0.01656277],"study_design_scores_gemma":[0.000001873839,0.0000110544,0.9963579,0.000004723189,0.000004565485,0.00004902563,0.0004844187,0.00029473,0.0009790069,0.0000094445,0.001799349,0.000003960636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995514,0.000132944,0.0002733498,0.00002753725,0.000001486711,0.00002773351,0.001580705,0.00001185178,0.002430323],"genre_scores_gemma":[0.9957138,0.000159878,0.0007694261,0.00001442434,0.0000017633,0.00001716904,0.001201204,0.000004380275,0.002117919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08293825,"threshold_uncertainty_score":0.1668534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03710798290597479,"score_gpt":0.2476949677896009,"score_spread":0.2105869848836261,"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."}}