{"id":"W6986454650","doi":"","title":"PierreMasselot/Paper--2019--Air-pollution-warning-system","year":2019,"lang":"en","type":"dataset","venue":"London School of Hygiene & Tropical Medicine","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air pollution; Warning system; Early warning system; Field (mathematics); Noise pollution","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":[0.002456589,0.003156493,0.001908866,0.002627854,0.001426633,0.003340146,0.003810541,0.002423887,0.08382142],"category_scores_gemma":[0.01015259,0.0008664085,0.001860037,0.003167421,0.0006976238,0.0011416,0.002115438,0.002102555,0.1216965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792665,"about_ca_system_score_gemma":0.006482011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1347436,"about_ca_topic_score_gemma":0.2417344,"domain_scores_codex":[0.9985145,0.0003139007,0.00008694797,0.0004609481,0.0004097134,0.0002140821],"domain_scores_gemma":[0.9965013,0.0009821869,0.0001599393,0.0009845473,0.001005258,0.0003668114],"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":[0.00005728238,0.00001275762,0.0005190683,0.0002566699,0.00003471358,0.00001413114,0.000008593869,0.0003313741,0.0001014954,0.0003055412,0.9961382,0.002220366],"study_design_scores_gemma":[0.0005670846,0.00002416147,0.004489694,0.0002378562,0.00005372642,0.00006233349,0.00002756531,0.002094,0.0007619864,0.002076542,0.9895572,0.00004775634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002431361,0.0001582301,0.0004639788,0.0002825827,0.0001141864,0.00003624091,0.9948795,0.002550466,0.001271732],"genre_scores_gemma":[0.0007081432,0.00008730112,0.001168221,0.0001690918,0.00002273356,0.0001297023,0.9952195,0.0005303568,0.001964807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1347436,"threshold_uncertainty_score":0.2804106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008419820146032573,"score_gpt":0.273022983007879,"score_spread":0.2646031628618464,"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."}}