{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001569032,0.0001472255,0.0002064529,0.00001519525,0.00006560798,0.00001071944,0.0001912346,0.00002286733,0.00135418],"category_scores_gemma":[0.000005110241,0.000143284,0.00001674448,0.00009412902,0.000120682,0.0002959746,0.0001852003,0.00007899749,3.704678e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004468386,"about_ca_system_score_gemma":0.0008430428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9445387,"about_ca_topic_score_gemma":0.9825702,"domain_scores_codex":[0.9977697,0.00005035384,0.0003933483,0.00022431,0.001287028,0.0002752903],"domain_scores_gemma":[0.9992986,0.00008343502,0.0001891548,0.000195599,2.429849e-7,0.0002329398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004765917,0.00002344372,0.9151561,0.00004966168,0.00001554312,0.0000109681,0.00005267309,0.001014354,0.07643776,0.0008167189,0.004082123,0.002293046],"study_design_scores_gemma":[0.000234847,0.00002392705,0.8750236,0.00005793871,0.0000074772,0.00000782628,0.001212288,0.0005461983,0.116065,0.0003309649,0.006301637,0.0001882682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629303,0.00001947241,0.0000283203,0.001774288,0.0002286429,0.0001985865,0.00006412109,0.000004033606,0.03475221],"genre_scores_gemma":[0.9974748,0.000007527298,0.0005136591,0.0004657421,0.00001615603,0.00000602049,0.000006702651,0.00001269318,0.001496651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04013246,"threshold_uncertainty_score":0.9995587,"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."}}