{"id":"W3108242604","doi":"","title":"Understanding the Support for Municipal Green Bin Programs","year":2020,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bin; Business; Computer science","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":[0.001066973,0.0001230606,0.0001803734,0.0008455507,0.002052373,0.002217127,0.0008792686,0.0006903076,0.005479023],"category_scores_gemma":[0.006473891,0.0001842713,0.0001915469,0.001735865,0.001020805,0.001612518,0.001834021,0.0007416836,0.0002214236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009419914,"about_ca_system_score_gemma":0.01148817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4460322,"about_ca_topic_score_gemma":0.6291802,"domain_scores_codex":[0.9990151,0.0002438618,0.00003346319,0.00006207073,0.0002470617,0.0003983737],"domain_scores_gemma":[0.9963559,0.0006920879,0.001061626,0.0001221038,0.0006150572,0.001153336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000803549,0.0002484859,0.8352546,0.0001677284,0.0000496074,0.00039749,0.05387747,0.0005721381,0.0003541709,0.009808374,0.008415631,0.0907739],"study_design_scores_gemma":[0.00001317256,0.00008069103,0.8761321,0.0002873279,0.0000285256,0.00006169333,0.09270076,0.0009792614,0.00009355987,0.001835616,0.02777084,0.00001658333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738033,0.0005674759,0.0001473857,0.008091129,0.0000116615,0.00002762042,0.000227938,0.000006461819,0.01711701],"genre_scores_gemma":[0.9984735,0.0003580143,0.0001060851,0.0001697877,0.000006796044,0.00001720958,0.0001124341,0.000001518958,0.000754647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4460322,"threshold_uncertainty_score":0.886872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.319427812868057,"score_gpt":0.3173966552411299,"score_spread":0.002031157626927182,"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."}}