{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002966016,0.0002256391,0.0005262989,0.0001900438,0.00005243733,0.00003396973,0.000727472,0.000119679,0.00008481804],"category_scores_gemma":[0.0005633355,0.00020565,0.0001313309,0.0004246326,0.0002909955,0.0001040791,0.0006825335,0.0002757563,0.000002467712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004875933,"about_ca_system_score_gemma":0.00004195724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391443,"about_ca_topic_score_gemma":0.0008214348,"domain_scores_codex":[0.9967656,0.001312446,0.0008505311,0.0004151034,0.0004377725,0.0002185995],"domain_scores_gemma":[0.9969988,0.0007032948,0.001096228,0.000995886,0.000152498,0.0000533114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006056528,0.002194752,0.2008291,0.005299818,0.0001797231,0.000009525265,0.01501857,0.0174934,0.0586498,0.005971107,0.00007683353,0.6942168],"study_design_scores_gemma":[0.0007058698,0.000008092708,0.2059583,0.02984767,0.0001285251,0.000003973422,0.000514403,0.06468458,0.693228,0.004256273,0.00007315844,0.0005911691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576545,0.0004194126,0.02721074,0.0002417299,0.0000221362,0.0004303268,0.000009614933,0.00008399101,0.01392755],"genre_scores_gemma":[0.9347226,0.0002351976,0.0646877,0.000006828976,0.000002174178,0.00001717127,0.00002481536,0.00001922235,0.0002843031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6936256,"threshold_uncertainty_score":0.8386163,"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."}}