{"id":"W6977424864","doi":"10.6084/m9.figshare.c.3612197_d4.v1","title":"Additional file 7: of Contrasting biological potency of particulate matter collected at sites impacted by distinct industrial sources","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particulates; Resazurin; Petrochemical; Potency; Organic matter; Aerosol","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001660057,0.0009284494,0.001190664,0.001863841,0.0009746603,0.001281723,0.001611756,0.001185681,0.8377573],"category_scores_gemma":[0.02192264,0.0004912866,0.001030895,0.002663897,0.0002130173,0.001613537,0.0009488089,0.0006082869,0.1203649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008842869,"about_ca_system_score_gemma":0.001647619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153052,"about_ca_topic_score_gemma":0.02294009,"domain_scores_codex":[0.9991345,0.0001113508,0.0001488843,0.0001743904,0.0002725191,0.00015838],"domain_scores_gemma":[0.9800418,0.01512013,0.0009346528,0.000940661,0.002592659,0.0003700413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008929944,0.0002769076,0.008781309,0.005656518,0.0001271825,0.0001855368,0.0001561637,0.0008419824,0.0006069742,0.0006211362,0.9670479,0.01480528],"study_design_scores_gemma":[0.008889331,0.001095675,0.1433089,0.005058196,0.0004185,0.0007577869,0.001782086,0.004960556,0.003200433,0.006961096,0.8232751,0.0002921793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004230977,0.000008558965,0.0001403657,0.00006524951,0.0000157379,0.00006006581,0.9984554,0.0001646791,0.0006668799],"genre_scores_gemma":[0.02158072,0.0001185816,0.004507796,0.0003625509,0.00006799409,0.002069451,0.9591027,0.0005536773,0.01163639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8377573,"threshold_uncertainty_score":0.2314196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.202329768751648,"score_gpt":0.3452192579179221,"score_spread":0.1428894891662741,"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."}}