{"id":"W7070768184","doi":"","title":"Portrait global de l'industrie du recyclage","year":2013,"lang":"fr","type":"article","venue":"NPARC","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002842739,0.0003054479,0.0002749499,0.001782261,0.0004890297,0.002472243,0.0003361088,0.0005377265,0.01696705],"category_scores_gemma":[0.0004637548,0.0001730984,0.0004526055,0.002362909,0.0007319677,0.001959694,0.000774909,0.0006479812,0.002414761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376141,"about_ca_system_score_gemma":0.0005339714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530727,"about_ca_topic_score_gemma":0.01608506,"domain_scores_codex":[0.9998782,0.00001731843,0.000003110079,0.00004105832,0.00003764013,0.00002263804],"domain_scores_gemma":[0.9997734,0.00006762469,0.00003177992,0.00002479195,0.00007408833,0.00002823817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003275587,0.00006233421,0.03951576,0.0004625586,0.0001507504,0.0009425323,0.003914486,0.07466176,0.01396452,0.7109063,0.02291971,0.1321716],"study_design_scores_gemma":[0.00005493759,0.0001668001,0.1357929,0.0003028601,0.0001109022,0.0007940147,0.005869299,0.08194273,0.004324332,0.1889355,0.5816224,0.00008330353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2736737,0.002938186,0.06565405,0.003923566,0.0001515661,0.00003923058,0.00657056,0.001612696,0.6454364],"genre_scores_gemma":[0.8772792,0.002427982,0.02040827,0.000254423,0.00006502408,0.00008074984,0.002008945,0.0004022181,0.09707323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01696705,"threshold_uncertainty_score":0.05676049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006053991401462771,"score_gpt":0.2337058464085749,"score_spread":0.2276518550071121,"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."}}