{"id":"W2928840841","doi":"10.3390/ijerph16071242","title":"Industrial Odor Source Identification Based on Wind Direction and Social Participation","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Bureau for International Education","keywords":"Odor; Pet food; Environmental science; Psychology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008602303,0.0003558251,0.0002111066,0.001259135,0.0009117199,0.0009182062,0.0003200883,0.000301102,0.003198198],"category_scores_gemma":[0.002074547,0.0001339467,0.0003048943,0.0007017259,0.0002527922,0.0003912797,0.001257067,0.0002747434,0.0003743905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428776,"about_ca_system_score_gemma":0.0004347936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971803,"about_ca_topic_score_gemma":0.07834306,"domain_scores_codex":[0.9992749,0.0002086442,0.00006600526,0.0001026402,0.0002047711,0.0001430492],"domain_scores_gemma":[0.9977311,0.0003144817,0.0009675677,0.00008372366,0.0006754176,0.0002276023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00010529,0.0001163397,0.9768983,0.0001263488,0.00004018737,0.0001593235,0.00301186,0.00008311235,0.001707917,0.00004921859,0.0007991644,0.016903],"study_design_scores_gemma":[0.000002860468,0.0001099619,0.9906988,0.00004895594,0.00001478305,0.0000776621,0.00693113,0.0002130981,0.0002961575,0.00002406695,0.00157412,0.000008422037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920439,0.0001417852,0.0005332765,0.00008952433,0.00001315971,0.0001993059,0.0009500311,0.0000127473,0.006016287],"genre_scores_gemma":[0.9947175,0.0002288318,0.001103417,0.0000562697,0.00001591244,0.0002859857,0.001261687,0.000005267296,0.002325261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01971803,"threshold_uncertainty_score":0.0392065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09610480273546966,"score_gpt":0.3719793687830732,"score_spread":0.2758745660476035,"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."}}