{"id":"W3188655801","doi":"10.1037/cbs0000294","title":"TMI? Accompanying details impact statements’ perceived veracity.","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Applied psychology; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.003639381,0.0004122522,0.0006501811,0.001686516,0.002716128,0.001609101,0.004399136,0.00007007665,0.0003128358],"category_scores_gemma":[0.000409717,0.0003685193,0.0003941801,0.004728658,0.003013085,0.005856323,0.0002880367,0.000410234,0.00001034326],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004926541,"about_ca_system_score_gemma":0.009046825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03414276,"about_ca_topic_score_gemma":0.2833669,"domain_scores_codex":[0.9948844,0.0001554813,0.001262739,0.0008984976,0.0008061806,0.001992724],"domain_scores_gemma":[0.992791,0.00007563066,0.001123496,0.0007780663,0.002039957,0.003191859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008170955,0.0002668678,0.8553756,0.00003278299,0.0001410166,0.006426432,0.0109624,0.006498937,0.03357932,0.01368001,0.0006168754,0.0724116],"study_design_scores_gemma":[0.001368929,0.001256322,0.9353906,0.00054346,0.0001897397,0.006026579,0.004176681,0.02181834,0.009623509,0.01490566,0.002959552,0.001740628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614617,0.0003645346,0.03568116,0.000804911,0.0008986095,0.0001926751,0.00001932396,0.00004174378,0.0005353531],"genre_scores_gemma":[0.9544849,0.00003415612,0.04506932,0.0002196981,0.00008489149,0.000006778649,0.000004607754,0.00001405767,0.00008155113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2492241,"threshold_uncertainty_score":0.9998767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043839362635598,"score_gpt":0.328269907150494,"score_spread":0.2238859708869341,"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."}}