{"id":"W4206854860","doi":"","title":"Tracing of polypropylene with rare earth oxides in view of automatic sorting of plastic wastes","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Polypropylene; Sorting; Rare earth; Tracing; Plastic waste; Materials science; Computer science; Waste management; Composite material; Metallurgy; Engineering; Algorithm","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":[0.0002183547,0.0003037705,0.0001806791,0.0006782632,0.0003791027,0.0005767588,0.0003638366,0.0005494119,0.001569988],"category_scores_gemma":[0.0003393217,0.0001722219,0.0002331703,0.0003847881,0.0003559026,0.0004641349,0.000307074,0.0003735514,0.0002742148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339042,"about_ca_system_score_gemma":0.0003067199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429025,"about_ca_topic_score_gemma":0.001648343,"domain_scores_codex":[0.9998236,0.0000205157,0.000004787436,0.00005082723,0.00006968539,0.00003052181],"domain_scores_gemma":[0.9997862,0.0000987961,0.00003776571,0.00002225189,0.00003937768,0.00001559973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001660155,0.000008675284,0.0006618223,0.00002784719,0.000004423129,0.0001626584,0.00005749589,0.0001696681,0.9964043,0.0001505579,0.00003365971,0.002152947],"study_design_scores_gemma":[0.000004169069,0.00009653758,0.002753962,0.000005779828,0.00001132444,0.0001802878,0.00006668666,0.001579954,0.9941954,0.00007430437,0.001028117,0.000003529908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763801,0.000669399,0.01816378,0.0001388526,0.00003006176,0.00003418093,0.0002088979,0.0001123379,0.00426239],"genre_scores_gemma":[0.9783141,0.0007034244,0.01431801,0.00005226489,0.00001779696,0.00001887792,0.0001597198,0.00004684373,0.006368955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001569988,"threshold_uncertainty_score":0.005252123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009535447294183994,"score_gpt":0.2143729337273626,"score_spread":0.2048374864331786,"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."}}