{"id":"W6987254785","doi":"","title":"Sourcing of microplastics entering Lake Winnipeg, Manitoba, Canada","year":2024,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microplastics; Identification (biology); Noise (video); Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0004324653,0.0005808843,0.0003343784,0.002691212,0.004335417,0.001665134,0.0007674851,0.0003373184,0.002675944],"category_scores_gemma":[0.0008115411,0.0003890616,0.0003050731,0.003614759,0.0007443733,0.0004285727,0.0008533335,0.000364447,0.0004305089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02002345,"about_ca_system_score_gemma":0.02460157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750456,"about_ca_topic_score_gemma":0.9947336,"domain_scores_codex":[0.999492,0.00001801641,0.00001497871,0.00009312203,0.0002888928,0.00009287431],"domain_scores_gemma":[0.9991434,0.0000315345,0.00006792013,0.00001498374,0.0006561439,0.00008603908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007653955,0.0001373115,0.6293665,0.001378224,0.0002782642,0.00367242,0.01767406,0.00154403,0.2012003,0.00137726,0.00641346,0.1361928],"study_design_scores_gemma":[0.00002098285,0.0001635922,0.897823,0.0002876279,0.0001198465,0.0004332784,0.01772374,0.00164848,0.02572696,0.0001605645,0.0558237,0.00006825112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749733,0.001710527,0.001517235,0.0005232788,0.00004634482,0.0003636545,0.004200464,0.00007927125,0.01658586],"genre_scores_gemma":[0.9488302,0.003723508,0.01094405,0.0005288905,0.00001416127,0.0001556658,0.003370383,0.0001000205,0.0323331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02495438,"threshold_uncertainty_score":0.145281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006748771303660492,"score_gpt":0.1628037617736622,"score_spread":0.1560549904700017,"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."}}