{"id":"W4381805115","doi":"10.20982/tqmp.19.2.p217","title":"Exemplification méthodologique d'une analyse de classes latentes avec R","year":2023,"lang":"fr","type":"article","venue":"The Quantitative Methods for Psychology","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Exemplification; Sociology; Psychology; Philosophy; Epistemology","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":[0.01731139,0.003072783,0.001662982,0.005003711,0.001204768,0.007005798,0.004067004,0.002649383,0.05341889],"category_scores_gemma":[0.05828845,0.001336836,0.006233412,0.003430854,0.002678398,0.003758223,0.00380698,0.005890471,0.02065653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477607,"about_ca_system_score_gemma":0.002920607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005599635,"about_ca_topic_score_gemma":0.005452222,"domain_scores_codex":[0.9771305,0.01316176,0.001875439,0.003659024,0.003651809,0.0005212821],"domain_scores_gemma":[0.9565527,0.03338897,0.001326151,0.004513113,0.003895726,0.0003233292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005999011,0.0001844394,0.004258346,0.002610569,0.0006492669,0.001301875,0.003064726,0.02444957,0.007136732,0.5251818,0.05252411,0.3780386],"study_design_scores_gemma":[0.0003450054,0.0002106534,0.003531944,0.000865427,0.0002780343,0.002615348,0.001098836,0.2689074,0.01075587,0.4195242,0.2915597,0.0003075986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006096992,0.0001074389,0.9935585,0.0003238846,0.00007106067,0.0001363606,0.0006499954,0.00280027,0.001742793],"genre_scores_gemma":[0.01688329,0.0002380664,0.9744071,0.0002194712,0.0001042675,0.001240846,0.001283454,0.001617378,0.004006268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05341889,"threshold_uncertainty_score":0.178704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5835483607170546,"score_gpt":0.6319668676240068,"score_spread":0.04841850690695215,"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."}}