{"id":"W7131812301","doi":"10.5281/zenodo.18389812","title":"Canadian activities on plastic pollution","year":2024,"lang":"","type":"article","venue":"Open MIND","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microplastics; Plastic pollution; Harm; Government (linguistics); Human health; Pollution; Climate change","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":[0.002515838,0.001922993,0.0008217961,0.007056484,0.01490535,0.007358828,0.002550034,0.002851089,0.1436553],"category_scores_gemma":[0.005794851,0.0007771772,0.00155556,0.01297224,0.002642669,0.001828753,0.004886948,0.002943757,0.01988269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08230133,"about_ca_system_score_gemma":0.2895606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9854932,"about_ca_topic_score_gemma":0.9891741,"domain_scores_codex":[0.9889901,0.0004005528,0.0002544076,0.0007116959,0.007662555,0.001980621],"domain_scores_gemma":[0.989541,0.0003783249,0.0003386009,0.0003651661,0.006876532,0.002500478],"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":[0.00005654713,0.00004791392,0.00302304,0.0008362914,0.0000281161,0.0003698977,0.001296949,0.000207662,0.00105297,0.02176547,0.8913626,0.07995254],"study_design_scores_gemma":[0.000002361902,0.000004554491,0.003139616,0.00007616213,0.000005649112,0.00004174339,0.000375285,0.00002922405,0.0001353946,0.0001855036,0.9959911,0.00001341054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007365772,0.01801653,0.001263274,0.05247311,0.006935024,0.0003915881,0.02991277,0.0008330123,0.882809],"genre_scores_gemma":[0.04439064,0.03051705,0.003618946,0.01237451,0.0008511517,0.0001435174,0.01623561,0.0004493477,0.8914191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1436553,"threshold_uncertainty_score":0.5971408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770791230362192,"score_gpt":0.2429031559994098,"score_spread":0.2251952436957879,"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."}}