{"id":"W4251119652","doi":"10.7749/citiescommunitiesterritories.jun2004.008.art05","title":"La Structuration des Systèmes Associatifs Locaux de Bien-Être","year":2004,"lang":"pt","type":"article","venue":"Cidades, comunidades e território/Cidades comunidades e territórios","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Québec Science (Canada)","funders":"","keywords":"Humanities; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005709826,0.0006993981,0.0008796154,0.005108347,0.001767886,0.008011228,0.001375252,0.001342029,0.004642853],"category_scores_gemma":[0.02596988,0.0007395279,0.001308423,0.006547172,0.00235603,0.005627978,0.002428349,0.0008220773,0.00138771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853532,"about_ca_system_score_gemma":0.001730024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03496889,"about_ca_topic_score_gemma":0.02515365,"domain_scores_codex":[0.9954684,0.001682819,0.0003204114,0.001349406,0.0009308461,0.00024819],"domain_scores_gemma":[0.9782339,0.01292832,0.002554802,0.002665616,0.003209915,0.0004074386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003075975,0.0001454176,0.8189669,0.0003689516,0.0005997954,0.0003479123,0.01787729,0.01727312,0.01016856,0.02397175,0.001319327,0.1086534],"study_design_scores_gemma":[0.00005599718,0.0003818638,0.7319756,0.0001820432,0.0007031211,0.00111969,0.01222348,0.1968686,0.01131772,0.02129814,0.02367083,0.0002029983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895673,0.0006229927,0.09085049,0.0005222594,0.00003633709,0.0001128368,0.001697548,0.00183014,0.008654435],"genre_scores_gemma":[0.9593393,0.0001402411,0.03703801,0.00003013373,0.00002099873,0.00007601268,0.001280603,0.00009927565,0.001975235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03496889,"threshold_uncertainty_score":0.06953067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833126953191395,"score_gpt":0.2839613477704697,"score_spread":0.2656300782385557,"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."}}