{"id":"W6969054116","doi":"10.5683/sp3/ogzspd","title":"Replication Data for: Discharge of Microplastics in Calgary Stormwater Runoff","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Microplastics; Surface runoff; Raw data; Replication (statistics); Stormwater; Blank; Identification (biology)","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":[0.001596261,0.001720285,0.001317733,0.003527149,0.0009876714,0.002644892,0.002791949,0.001461642,0.04791814],"category_scores_gemma":[0.00725289,0.0008842566,0.001005751,0.0075346,0.0003803609,0.0008033293,0.001904725,0.001533345,0.04274902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003248374,"about_ca_system_score_gemma":0.007876758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2982725,"about_ca_topic_score_gemma":0.3568147,"domain_scores_codex":[0.9986767,0.0001264678,0.0001592473,0.0003766894,0.0004294204,0.000231335],"domain_scores_gemma":[0.9931034,0.0008323339,0.0005869166,0.001480947,0.003543005,0.0004533716],"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":[0.00006632678,0.00001589895,0.002515321,0.0003809424,0.00005003743,0.00001674293,0.0000341634,0.0003802266,0.0001053609,0.0002926664,0.9937724,0.00236987],"study_design_scores_gemma":[0.0003477187,0.00002128659,0.04453905,0.0004171996,0.00005961823,0.00002812821,0.0001448818,0.0006657561,0.0006924484,0.0007574452,0.9522608,0.0000657423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001231399,0.0000132157,0.00002436189,0.0000180818,0.00001242318,0.000006805813,0.999395,0.0001114914,0.00029547],"genre_scores_gemma":[0.0005147969,0.00001930711,0.0001949529,0.00002273786,0.000005341712,0.0000609207,0.9984533,0.00006279324,0.0006658534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7017275,"threshold_uncertainty_score":0.5930728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04625803246225855,"score_gpt":0.312723383162257,"score_spread":0.2664653506999984,"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."}}