{"id":"W4253838897","doi":"10.7202/1085881ar","title":"Considérations pour orienter la recherche future sur les groupes de discussion","year":2011,"lang":"fr","type":"article","venue":"Recherches qualitatives","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.06233766,0.0004289529,0.0005480695,0.0003256179,0.0002880571,0.0003080093,0.0007400904,0.001108208,0.006773712],"category_scores_gemma":[0.03203941,0.000270648,0.0003296706,0.001104201,0.0006221537,0.001676779,0.0001469812,0.001488339,0.001091042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000831289,"about_ca_system_score_gemma":0.003038303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003774327,"about_ca_topic_score_gemma":0.000833582,"domain_scores_codex":[0.9509826,0.04526041,0.001306088,0.000692792,0.001156782,0.0006013135],"domain_scores_gemma":[0.9628116,0.03424212,0.0006187484,0.0006352083,0.001339073,0.0003532659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001607489,0.0007373935,0.004771454,0.00008348308,0.0001298346,0.00001421427,0.4461235,0.000009714444,0.0006667929,0.1238983,0.01726685,0.4061377],"study_design_scores_gemma":[0.0009405127,0.0003662607,0.01965291,0.0003928336,0.0001056134,0.00002848041,0.2367676,0.001033182,0.001492815,0.3971557,0.3415214,0.0005426434],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.153726,0.02296652,0.3115157,0.3265961,0.004828965,0.001221358,0.0002138435,0.0002712565,0.1786604],"genre_scores_gemma":[0.1030026,0.004936634,0.5782133,0.001766215,0.001275105,0.0001204817,0.00003034008,0.00008528525,0.31057],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4055951,"threshold_uncertainty_score":0.9999745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9137355693239745,"score_gpt":0.6295302310285407,"score_spread":0.2842053382954338,"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."}}