{"id":"W1540470417","doi":"","title":"SOURCE APPORTIONMENT OF PM2.5 SHIP EMISSIONS IN HALIFAX, NOVA SCOTIA, CANADA","year":2013,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Apportionment; Environmental science; Nova (rocket); Meteorology; Oceanography; Geography; Engineering; Aeronautics; Political science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003245967,0.0004607332,0.0002512385,0.001939405,0.001219682,0.0009843549,0.0005521688,0.0002196411,0.0009715613],"category_scores_gemma":[0.0006913336,0.0002661602,0.0003244649,0.001602344,0.0003962245,0.0001816691,0.0005026761,0.0001836844,0.0001937002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01830369,"about_ca_system_score_gemma":0.01908322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995093,"about_ca_topic_score_gemma":0.9963712,"domain_scores_codex":[0.999638,0.0000263293,0.00001899364,0.00006090417,0.0001584951,0.00009738873],"domain_scores_gemma":[0.9993109,0.00004433467,0.00007455269,0.00002131111,0.0004768768,0.00007211727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001750229,0.00003040993,0.9781582,0.00007000039,0.0000856391,0.0006351701,0.0006327263,0.003437068,0.002620748,0.0001787553,0.001941317,0.01203497],"study_design_scores_gemma":[0.00001205052,0.00001506498,0.9930851,0.00002235987,0.00002874602,0.0001165296,0.0008901646,0.002898846,0.0008752568,0.00002559151,0.00201246,0.00001789039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905047,0.0004591677,0.0004249285,0.0001504149,0.00001501724,0.00006747096,0.003870945,0.00004131203,0.004466031],"genre_scores_gemma":[0.9942535,0.0003000587,0.0005400275,0.00004796276,0.000003235195,0.00002148584,0.002019709,0.00001207529,0.002801995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01830369,"threshold_uncertainty_score":0.1328032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003308456238220039,"score_gpt":0.1349679370370095,"score_spread":0.1316594807987895,"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."}}