{"id":"W6925404073","doi":"10.17605/osf.io/vdsnu","title":"The Corporate Bullshit Receptivity Scale - Study 2","year":2025,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Marriage and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Sample (material); Data collection; Discriminant validity; Receptivity; Population; Construct (python library); Voting","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":[0.005956112,0.0003363246,0.0005456463,0.001332191,0.002241144,0.001870259,0.0009983578,0.0006098979,0.003915541],"category_scores_gemma":[0.00799101,0.0004689584,0.0007938819,0.0008920416,0.001052396,0.001077162,0.001625632,0.002411667,0.0006988219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00292837,"about_ca_system_score_gemma":0.00526611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03526141,"about_ca_topic_score_gemma":0.07004511,"domain_scores_codex":[0.998224,0.0004933592,0.0001535983,0.0001275383,0.000793761,0.0002077753],"domain_scores_gemma":[0.9950478,0.0009482065,0.001031226,0.0004337721,0.001257666,0.001281225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003145565,0.003267009,0.8708246,0.0003295845,0.0001169559,0.0005284583,0.05905767,0.0002717609,0.001819554,0.003308757,0.006750598,0.05341067],"study_design_scores_gemma":[0.00009861094,0.0008132595,0.9596034,0.0001169887,0.00004256703,0.0003230043,0.02347209,0.000294237,0.0005450851,0.0004957628,0.01414787,0.00004712702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9886655,0.0001572406,0.0003164685,0.000275944,0.00004022713,0.001716457,0.0005615376,0.00001100111,0.008255627],"genre_scores_gemma":[0.9826502,0.0004658102,0.002223466,0.0004282577,0.00003859896,0.004237224,0.001367483,0.00001504697,0.008573842],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03526141,"threshold_uncertainty_score":0.07011235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883403954948877,"score_gpt":0.3767947670834778,"score_spread":0.337960727533989,"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."}}