{"id":"W2617916781","doi":"","title":"L'intelligence collective à la rescousse du développement des communautés territoriales","year":2011,"lang":"fr","type":"article","venue":"","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de l'Abitibi Témiscamingue","funders":"","keywords":"Humanities; Political science; 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":[0.00557086,0.0009290056,0.000718141,0.001814229,0.004787339,0.01461586,0.0008115279,0.003366177,0.01367905],"category_scores_gemma":[0.01026826,0.0003901194,0.001087714,0.001742906,0.006526452,0.005829561,0.003643665,0.004318295,0.002101405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006323697,"about_ca_system_score_gemma":0.004726022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04105463,"about_ca_topic_score_gemma":0.02478552,"domain_scores_codex":[0.9948749,0.002428374,0.000127439,0.0005399639,0.001439883,0.0005893839],"domain_scores_gemma":[0.9935012,0.00286914,0.000712009,0.0006023555,0.001401076,0.0009141286],"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":[0.0003114805,0.0002728616,0.01335909,0.0004434555,0.0001936359,0.001454984,0.03441531,0.006540177,0.005617569,0.7638897,0.0151728,0.1583289],"study_design_scores_gemma":[0.0002700499,0.0005728411,0.06569839,0.0006328968,0.0001467296,0.001886288,0.04494575,0.01199918,0.00421651,0.08673984,0.7827299,0.0001616368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4164996,0.007475473,0.0624081,0.0338348,0.001437881,0.0001529307,0.000185091,0.0005449705,0.4774612],"genre_scores_gemma":[0.8844479,0.002271128,0.006166449,0.0005596085,0.0007974748,0.0001270675,0.0001144397,0.00009015841,0.1054257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04105463,"threshold_uncertainty_score":0.08163136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07387424249888547,"score_gpt":0.3172961117158816,"score_spread":0.2434218692169962,"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."}}