{"id":"W6989982267","doi":"","title":"Circular Economy for Plastics","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Circular economy; Principal (computer security); Presentation (obstetrics); Public policy; Public sector","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":[0.003034825,0.0005406479,0.000380519,0.001784755,0.005250183,0.01013938,0.001338791,0.006122552,0.09349057],"category_scores_gemma":[0.01175929,0.0004294071,0.0007756131,0.00159355,0.005830321,0.007263568,0.004513978,0.004113096,0.01414776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01406259,"about_ca_system_score_gemma":0.01660246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0705681,"about_ca_topic_score_gemma":0.06555515,"domain_scores_codex":[0.9961476,0.0006007692,0.00009854437,0.0004921673,0.001947432,0.0007134886],"domain_scores_gemma":[0.9948993,0.001070913,0.0002688257,0.0009853044,0.002272974,0.0005025871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002165798,0.00001855058,0.0001138993,0.00004641151,0.000003257067,0.00003069922,0.0001266551,0.0002872579,0.0001098055,0.9118976,0.07273706,0.0146072],"study_design_scores_gemma":[0.00001070566,0.00001702678,0.0002926341,0.0001340641,0.000005064649,0.00006068003,0.0002035425,0.0004494782,0.000281155,0.1676545,0.8308735,0.00001761967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002595509,0.001266608,0.006977629,0.01498142,0.0007376662,0.0001067505,0.0003852861,0.0001330429,0.972816],"genre_scores_gemma":[0.1175238,0.003828099,0.00801755,0.009859494,0.0007433079,0.0002647763,0.0006991091,0.0002549191,0.8588089],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09349057,"threshold_uncertainty_score":0.3127571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007200677910341961,"score_gpt":0.1868536647248846,"score_spread":0.1796529868145426,"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."}}