{"id":"W4292283614","doi":"","title":"Managing tools for the composting of urban food waste","year":2005,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food waste; Waste management; Urban waste; Mechanical biological treatment; Environmental science; Municipal solid waste; Business; Waste collection; Engineering","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":[0.001207517,0.0007362479,0.0003264906,0.001735439,0.0008163094,0.001823789,0.001170726,0.000423245,0.001568022],"category_scores_gemma":[0.001450061,0.0002591864,0.0002895882,0.001427537,0.0005891583,0.001515747,0.001269036,0.0003068618,0.0007510218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240302,"about_ca_system_score_gemma":0.001187052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002516924,"about_ca_topic_score_gemma":0.01120432,"domain_scores_codex":[0.9989408,0.000203792,0.000061166,0.0001428973,0.0005218622,0.0001295359],"domain_scores_gemma":[0.9991129,0.0001393074,0.000260596,0.0001407595,0.0002422096,0.0001042082],"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":[0.0004146206,0.0006844135,0.01776887,0.0008963923,0.00004001765,0.0008688372,0.0007629117,0.005205167,0.4716252,0.001962915,0.00137601,0.4983947],"study_design_scores_gemma":[0.000101111,0.003116627,0.05351665,0.0005007664,0.0001609663,0.002294979,0.004512248,0.01891929,0.8071252,0.004173631,0.1054445,0.0001340605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9320952,0.002670056,0.05087914,0.0004334679,0.00004095233,0.0006317763,0.0003437327,0.001205531,0.0117001],"genre_scores_gemma":[0.8699719,0.001637339,0.1222189,0.00009186708,0.00001651262,0.0002619367,0.0004242957,0.0001189451,0.005258385],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002516924,"threshold_uncertainty_score":0.00899905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647159044414858,"score_gpt":0.2261473446652937,"score_spread":0.1996757542211452,"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."}}