{"id":"W6962521550","doi":"10.17605/osf.io/jd76r","title":"Development and Evaluation of the Measuring Anti-Social Tendencies (MAST) Addendum Scale","year":2022,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Addendum; Scale (ratio); Measure (data warehouse); Development (topology)","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":[],"consensus_categories":[],"category_scores_codex":[0.01068105,0.001047288,0.0008000775,0.002144414,0.0008822578,0.001522728,0.001759966,0.0008570927,0.0101503],"category_scores_gemma":[0.01855434,0.0008301052,0.001372271,0.001070915,0.000582739,0.00118467,0.0024059,0.002069916,0.00445391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009684594,"about_ca_system_score_gemma":0.002772652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684347,"about_ca_topic_score_gemma":0.008425178,"domain_scores_codex":[0.9958555,0.001291614,0.0006427724,0.0004037611,0.001631011,0.0001753229],"domain_scores_gemma":[0.9880967,0.005055991,0.001020924,0.001058944,0.004080496,0.0006869792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004191761,0.006629171,0.3213442,0.0008010064,0.0003370364,0.0006157176,0.005780059,0.001572452,0.01360798,0.003109186,0.04144776,0.6005636],"study_design_scores_gemma":[0.0008222528,0.004705782,0.9456428,0.0002882575,0.0002172319,0.0009827423,0.00152098,0.003778155,0.007844966,0.001743981,0.03230673,0.0001461049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984556,0.0008359568,0.02393552,0.001816368,0.0007777794,0.02291331,0.02360088,0.001072517,0.02659202],"genre_scores_gemma":[0.6851849,0.001518722,0.1613489,0.001357926,0.0003610565,0.06801005,0.03735449,0.001118324,0.04374563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068105,"threshold_uncertainty_score":0.05648744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09933025386357541,"score_gpt":0.3625650514651586,"score_spread":0.2632347976015832,"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."}}