{"id":"W6921902478","doi":"10.11575/prism/40200","title":"Analysis of standards and certification protocols for verifying recycled content in plastic products","year":2022,"lang":"en","type":"other","venue":"Open MIND","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Plastic waste; Conformity assessment; Harmonization; Anticipation (artificial intelligence); Plastic bag","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":[0.1078962,0.0005902413,0.0005206619,0.01119371,0.00496879,0.006375724,0.003764568,0.001872924,0.002400716],"category_scores_gemma":[0.1376073,0.0005952408,0.0008283479,0.006900057,0.004363658,0.002508701,0.002838139,0.001935721,0.000744081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04406828,"about_ca_system_score_gemma":0.1512684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3607504,"about_ca_topic_score_gemma":0.457149,"domain_scores_codex":[0.8549424,0.03399671,0.01234965,0.005120638,0.08821508,0.005375557],"domain_scores_gemma":[0.7426153,0.04938952,0.01622715,0.0141312,0.1753026,0.002334327],"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":[0.0009559564,0.001656408,0.1411808,0.006963412,0.0002686557,0.001939307,0.04934399,0.01590929,0.03685873,0.1381809,0.03102447,0.5757181],"study_design_scores_gemma":[0.0001983113,0.002059411,0.228602,0.009421056,0.0007445102,0.001472555,0.08726764,0.01115255,0.1296858,0.01742854,0.5113367,0.0006309153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5009981,0.006215666,0.1276425,0.01254951,0.0008986761,0.02855813,0.008329181,0.001198188,0.3136101],"genre_scores_gemma":[0.7612404,0.004672109,0.1656208,0.002876195,0.00008848868,0.007609877,0.008710529,0.0002442217,0.04893733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3607504,"threshold_uncertainty_score":0.7173012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09738784869366672,"score_gpt":0.3973940778928159,"score_spread":0.3000062291991492,"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."}}