{"id":"W4414609070","doi":"10.1037/cbs0000474","title":"Reviewer Acknowledgement","year":2025,"lang":"fr","type":"article","venue":"Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02102422,0.001155053,0.001899682,0.008264767,0.005361241,0.01043894,0.00334939,0.009910581,0.1394515],"category_scores_gemma":[0.3277627,0.0007679214,0.001809049,0.003817498,0.002438648,0.005825008,0.004560244,0.01120586,0.07912204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007363351,"about_ca_system_score_gemma":0.01312038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484307,"about_ca_topic_score_gemma":0.0228362,"domain_scores_codex":[0.9714356,0.006238527,0.00275608,0.002741784,0.01531308,0.001514945],"domain_scores_gemma":[0.5758911,0.03677469,0.009900921,0.00801558,0.3586507,0.01076698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005986372,0.000001082857,0.00004257967,0.00005850998,0.000002120758,0.0000297514,0.00004960069,0.000004469362,0.0000147893,0.000370181,0.9978232,0.001597734],"study_design_scores_gemma":[0.00001815121,0.000004824808,0.0002780236,0.0003402025,0.00001410678,0.0001460617,0.0003325891,0.00005517315,0.00007093134,0.0009752753,0.99774,0.00002453981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000184356,0.001921714,0.001007686,0.4353358,0.5407214,0.0001964842,0.00147324,0.0006398963,0.01851955],"genre_scores_gemma":[0.0104985,0.003180019,0.002797579,0.4714655,0.2463957,0.001115557,0.002094557,0.002002795,0.2604498],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1394515,"threshold_uncertainty_score":0.4665117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222804006065122,"score_gpt":0.2460076523951326,"score_spread":0.1237272517886204,"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."}}