{"id":"W7112452843","doi":"","title":"Replication of Pennycook, Cannon, &amp; Rand (2018) at McGill University","year":2025,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Confidentiality; Key (lock); The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01372089,0.001463419,0.001546881,0.006583001,0.005687981,0.008240005,0.003628971,0.002942646,0.3433448],"category_scores_gemma":[0.1538273,0.00111182,0.001812294,0.006569379,0.002042593,0.004344139,0.004717669,0.004828388,0.1972839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006460278,"about_ca_system_score_gemma":0.01333058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07795543,"about_ca_topic_score_gemma":0.09796982,"domain_scores_codex":[0.9896975,0.001889538,0.0006922088,0.001757442,0.005379034,0.000584337],"domain_scores_gemma":[0.8489317,0.01960733,0.003093172,0.05529616,0.06773471,0.005336857],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002260816,0.0001018828,0.0007958103,0.0001609436,0.00003034426,0.00003387289,0.0005097971,0.0001387333,0.0003745738,0.004031386,0.9804391,0.01315736],"study_design_scores_gemma":[0.0003552638,0.00004679566,0.01174881,0.0003891714,0.0000637858,0.00008460503,0.0008524783,0.0005524127,0.00110595,0.007483927,0.9771658,0.0001509418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01566637,0.00186407,0.01853417,0.08029375,0.08650819,0.004371964,0.4491581,0.01263199,0.3309714],"genre_scores_gemma":[0.1080337,0.001781811,0.04274326,0.02290284,0.009062898,0.009528304,0.2118023,0.01911762,0.5750273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9862791,"threshold_uncertainty_score":0.9366389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917785634354639,"score_gpt":0.2530438312849484,"score_spread":0.233865974941402,"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."}}