{"id":"W7110648323","doi":"","title":"Williams &amp; Bodner 2019: Independent Recollection-Familiarity Ratings: Similar Effects of Levels-of-Processing Whether Amount or Confidence is Rated","year":2019,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidence interval; Self-confidence; Affect (linguistics); Statistical analysis","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"],"consensus_categories":[],"category_scores_codex":[0.002858633,0.0009349488,0.0008335178,0.0008893052,0.0006672808,0.001571023,0.001616027,0.00111223,0.2659488],"category_scores_gemma":[0.01520121,0.0007997623,0.0003784391,0.0008568828,0.0005575579,0.002338344,0.001447172,0.001410604,0.09756231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007786396,"about_ca_system_score_gemma":0.0007553646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004837383,"about_ca_topic_score_gemma":0.01055473,"domain_scores_codex":[0.9989609,0.00008043043,0.00008243175,0.0002057111,0.000612376,0.00005831044],"domain_scores_gemma":[0.9918499,0.002697931,0.0008287788,0.0019924,0.001881274,0.0007497552],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002284162,0.0007057535,0.005033601,0.0007444598,0.00008893115,0.0002097699,0.000428365,0.000255117,0.03545461,0.005812635,0.7951572,0.1538253],"study_design_scores_gemma":[0.00104532,0.0008925869,0.1669269,0.0003602861,0.000186785,0.000737888,0.0002974095,0.004460599,0.09077611,0.03132423,0.7023812,0.0006107537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08246683,0.001550004,0.08898495,0.006032383,0.003615118,0.003297951,0.4715925,0.0546758,0.2877844],"genre_scores_gemma":[0.2577571,0.001069356,0.1342208,0.003095274,0.0006588349,0.008551221,0.1874372,0.03489184,0.3723183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9971414,"threshold_uncertainty_score":0.8896873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405517502287642,"score_gpt":0.2880102400375159,"score_spread":0.2639550650146395,"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."}}