{"id":"W6950779955","doi":"10.5683/sp3/drqbuy","title":"Performance evaluation of portable dual-spot micro-aethalometers for source identification of Black Carbon aerosols: Application to wildfire smoke and traffic emissions in the Pacific Northwest","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identification (biology); Software deployment; Smoke; Measure (data warehouse); Carbon black; Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315331,0.001335843,0.0008650944,0.001461783,0.0006459077,0.001150305,0.002123031,0.001100008,0.001905386],"category_scores_gemma":[0.002758092,0.0002769458,0.0008220968,0.001772031,0.0002464419,0.000715229,0.0009785239,0.0005758961,0.002058315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154707,"about_ca_system_score_gemma":0.001511991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2156741,"about_ca_topic_score_gemma":0.2935943,"domain_scores_codex":[0.9988329,0.0002308433,0.00008861353,0.0003710047,0.0003568133,0.0001198711],"domain_scores_gemma":[0.9987184,0.0003029355,0.00007264838,0.0002164089,0.0005958454,0.00009383968],"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":[0.002856758,0.002606886,0.2897731,0.002271438,0.001304869,0.0007024313,0.0004679661,0.09817035,0.01556434,0.001724628,0.3004265,0.2841307],"study_design_scores_gemma":[0.0006114186,0.0005222242,0.3955445,0.000467084,0.0003367213,0.0005371596,0.00121616,0.486061,0.0174474,0.001219836,0.09582127,0.0002152262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4976992,0.002886272,0.009463947,0.0009217578,0.0004361511,0.0004231374,0.4684103,0.00747492,0.01228425],"genre_scores_gemma":[0.2313121,0.0006476101,0.01988038,0.0001708534,0.000054096,0.0002879997,0.7433046,0.0002252313,0.004117212],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2156741,"threshold_uncertainty_score":0.4288375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314731744112206,"score_gpt":0.2979473655167109,"score_spread":0.2648000480755889,"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."}}