{"id":"W4393948255","doi":"10.46909/alse-572131","title":"CHARACTERISATION OF MACRO-PLASTIC WASTE ALONG THE PHILIPPINES' LONGEST COASTAL BOULEVARD: BASIS FOR SOLID WASTE MANAGEMENT AND POLICY FORMULATION","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Life Sciences and Environment","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission","keywords":"Boulevard; Solid waste management; Macro; Plastic waste; Waste management; Municipal solid waste; Environmental science; Engineering; Civil engineering; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001004573,0.0005288278,0.0002973787,0.002344363,0.0006806876,0.001534984,0.0006013783,0.0003422297,0.001427187],"category_scores_gemma":[0.001389506,0.0001740429,0.0002747455,0.003539048,0.0006112031,0.000945601,0.0009670513,0.0002731174,0.0002530333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126838,"about_ca_system_score_gemma":0.002337447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03267172,"about_ca_topic_score_gemma":0.07875011,"domain_scores_codex":[0.9992531,0.0002545348,0.00007646195,0.00009363669,0.0002294225,0.00009279342],"domain_scores_gemma":[0.9980975,0.0002659066,0.0006495669,0.00007974801,0.0007776441,0.0001296261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001022204,0.0000691311,0.893242,0.0006055524,0.00004780007,0.0009777381,0.002660296,0.006758667,0.01283931,0.0006136454,0.0004281542,0.08165556],"study_design_scores_gemma":[0.000003305689,0.0003207478,0.9572197,0.0002269143,0.00003297875,0.0003083431,0.02169083,0.006451352,0.006907203,0.0004080566,0.006399869,0.00003084585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919724,0.0005631247,0.003261415,0.0003690812,0.000008250915,0.0001063553,0.0008079366,0.00002283942,0.002888608],"genre_scores_gemma":[0.9879551,0.001019078,0.008906297,0.00006720774,0.00001238121,0.0001068793,0.0007127702,0.00001054252,0.00120971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03267172,"threshold_uncertainty_score":0.0649631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101173954161742,"score_gpt":0.2238838487388943,"score_spread":0.2137664533227201,"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."}}