{"id":"W7024073219","doi":"","title":"Quel(s) rôle(s) pour l'agriculture urbaine à Montréal-Nord : perceptions et vision des résidents.","year":2014,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Ethnography; Urban environment; Informal settlements","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003813869,0.001282554,0.0008052172,0.0008057113,0.003321227,0.003882974,0.00229389,0.002052684,0.00005862731],"category_scores_gemma":[0.007451166,0.00128924,0.0008420707,0.003010429,0.002448295,0.006437198,0.0005969576,0.003192947,0.000692054],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005941904,"about_ca_system_score_gemma":0.007657883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003635574,"about_ca_topic_score_gemma":0.001172064,"domain_scores_codex":[0.989523,0.00226299,0.001526993,0.002503726,0.002989854,0.001193444],"domain_scores_gemma":[0.989816,0.003816302,0.001003294,0.001044468,0.003381424,0.0009384924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009609453,0.001113855,0.000838596,0.0003175739,0.0001725582,0.000117056,0.002026178,0.1143494,0.03094824,0.8246914,0.01527599,0.01005313],"study_design_scores_gemma":[0.002277213,0.0002508212,0.07188469,0.004427378,0.0002934381,0.003033573,0.0007234575,0.09228837,0.0100327,0.3349921,0.476085,0.003711299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03604392,0.002749723,0.6925569,0.005081591,0.003448881,0.001896379,0.0003767851,0.000745125,0.2571007],"genre_scores_gemma":[0.652484,0.000809332,0.1270789,0.0008337342,0.001480646,0.0009259587,0.003064861,0.0001402189,0.2131824],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6164401,"threshold_uncertainty_score":0.9999926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061884879967888,"score_gpt":0.3432838858209143,"score_spread":0.2826650370212354,"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."}}