{"id":"W7084160210","doi":"10.64628/aam.a9dtcmh7r","title":"Cities and countries aim to slash plastic waste within a decade","year":2019,"lang":"en","type":"article","venue":"","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Plastic waste; Slash (logging)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001033324,0.0005284197,0.0003973718,0.001087337,0.002702678,0.005152293,0.0009320225,0.002549887,0.01583347],"category_scores_gemma":[0.002852199,0.0002556181,0.0005574152,0.003746166,0.001696987,0.002287086,0.005511213,0.002361628,0.003009657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003194751,"about_ca_system_score_gemma":0.01170015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02643812,"about_ca_topic_score_gemma":0.08055865,"domain_scores_codex":[0.9988033,0.0002250505,0.0000507926,0.00009113132,0.0002687159,0.0005610415],"domain_scores_gemma":[0.9962908,0.0002155821,0.001237366,0.0001997988,0.0009576579,0.001098847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004233176,0.001329594,0.276551,0.001545699,0.0006016573,0.001014312,0.01013441,0.005781888,0.006607349,0.1854174,0.2130619,0.2975314],"study_design_scores_gemma":[0.00005837057,0.0005025794,0.1851574,0.0008032667,0.0001362141,0.0004025968,0.05889013,0.001001209,0.002514306,0.01512562,0.7353016,0.0001066552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.6016707,0.004938717,0.007569381,0.06418929,0.001815889,0.0003339457,0.002037381,0.0005454507,0.3168994],"genre_scores_gemma":[0.8491637,0.003679149,0.006279432,0.01156238,0.0001470992,0.0001601144,0.001253375,0.00008055398,0.1276743],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02643812,"threshold_uncertainty_score":0.0529682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014994811667414,"score_gpt":0.2584399789630543,"score_spread":0.2482900308463801,"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."}}