{"id":"W6932045607","doi":"10.5683/sp3/ketm5z","title":"Data for \"Measurement Report: Observations of Ground-Level Ozone Concentration Gradients Perpendicular to the Lake Ontario Shoreline\"","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ozone; Perpendicular; Calibration; Temperature measurement","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":[0.0007371253,0.001454393,0.001120533,0.002142411,0.001076156,0.001432418,0.002324146,0.001186837,0.03725462],"category_scores_gemma":[0.003625035,0.0007727816,0.0009485088,0.005967987,0.0004620937,0.0007382608,0.001316672,0.001088989,0.02709134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006224689,"about_ca_system_score_gemma":0.01046541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8196268,"about_ca_topic_score_gemma":0.8882533,"domain_scores_codex":[0.9993047,0.00005455699,0.00007012048,0.0001559862,0.0002556534,0.0001589958],"domain_scores_gemma":[0.9973013,0.0002032388,0.0003328763,0.0002967532,0.001574801,0.0002911234],"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":[0.00005036084,0.00001197435,0.002531129,0.0004061037,0.00003771338,0.00001811972,0.00003016886,0.0002432904,0.00007144162,0.0002519387,0.9952989,0.001048934],"study_design_scores_gemma":[0.0002947223,0.00001524419,0.0511033,0.0003166912,0.0000625576,0.00003582876,0.0001670438,0.0004930612,0.000368063,0.0004263524,0.9466741,0.00004316209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001379832,0.00002960145,0.00002124205,0.00003288898,0.000009708259,0.00000688659,0.9994141,0.00004184398,0.0003057865],"genre_scores_gemma":[0.0007554184,0.00004072268,0.00009845764,0.00001846879,0.000005141473,0.00004270042,0.9979359,0.00001957083,0.001083583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1803732,"threshold_uncertainty_score":0.3628709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1878011619781745,"score_gpt":0.264832267664527,"score_spread":0.07703110568635255,"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."}}