{"id":"W4299398743","doi":"","title":"New paradigms on how to achieve zero food waste in future cities: Optimizing food use by waste prevention and valorization","year":2015,"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":"Zero (linguistics); Zero waste; Computer science; Zero emission; Waste management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130762,0.0003622934,0.0003835493,0.00008991293,0.0002436251,0.0007035257,0.0005548506,0.0003670936,0.00001906419],"category_scores_gemma":[0.0006995552,0.000221782,0.0001406108,0.0005552583,0.00007780171,0.0003032709,0.0006264955,0.0005156767,0.000002056573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207434,"about_ca_system_score_gemma":0.0001181772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005470524,"about_ca_topic_score_gemma":0.002937711,"domain_scores_codex":[0.9952199,0.002680215,0.0004117509,0.0008888498,0.0004219003,0.0003773779],"domain_scores_gemma":[0.9975835,0.0004469442,0.0003185277,0.0004872398,0.0007985434,0.0003652179],"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":[0.0004194813,0.001601335,0.002885936,0.0003856097,0.000197952,0.000003478359,0.02438396,0.002776906,0.01354253,0.03612564,0.02001414,0.897663],"study_design_scores_gemma":[0.01163113,0.001006488,0.03090802,0.018424,0.0005596027,0.00009384699,0.2633727,0.03463155,0.183665,0.1629566,0.2800885,0.01266249],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628468,0.0005603855,0.006574317,0.02733382,0.0003333304,0.0009959404,0.0001415496,0.0001216876,0.001092239],"genre_scores_gemma":[0.9891144,0.0003719267,0.004508485,0.00009467927,0.0001262058,0.0000700791,0.0007828675,0.000008333884,0.004923006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8850005,"threshold_uncertainty_score":0.9044009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229763194686796,"score_gpt":0.2177174287696239,"score_spread":0.1954197968227559,"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."}}