{"id":"W1983629772","doi":"10.1177/0170840612470231","title":"How our Frames Direct Us: A Poker Experiment","year":2013,"lang":"en","type":"article","venue":"Organization Studies","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; HEC Montréal","funders":"HEC Montréal","keywords":"Consistency (knowledge bases); Frame (networking); Interpretation (philosophy); Frame analysis; Social psychology; Thematic analysis; Relational frame theory; Psychology; Computer science; Cognitive psychology; Sociology; Artificial intelligence; Qualitative research; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008618456,0.0009271589,0.0009426254,0.0005649819,0.002194161,0.003468188,0.001722352,0.003046407,0.01237784],"category_scores_gemma":[0.03408234,0.0007251819,0.0004673387,0.0004948848,0.002985002,0.004768162,0.002715028,0.00439341,0.001335159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006968862,"about_ca_system_score_gemma":0.0006214515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006226855,"about_ca_topic_score_gemma":0.0004466884,"domain_scores_codex":[0.9947422,0.002901091,0.0003201178,0.0008915573,0.0008077156,0.0003373073],"domain_scores_gemma":[0.9622559,0.0303788,0.001562014,0.003518374,0.001094727,0.001190332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03655728,0.1449874,0.02512942,0.002634079,0.0004152669,0.003456139,0.1913109,0.007090836,0.1592536,0.2308534,0.01386923,0.1844424],"study_design_scores_gemma":[0.03012993,0.1371497,0.08160633,0.0006663649,0.000876888,0.001917273,0.05832565,0.06436565,0.09217362,0.3883809,0.1432825,0.001125197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724945,0.00008888715,0.005954654,0.0007735,0.000267693,0.001236498,0.0001467324,0.00008508268,0.01895243],"genre_scores_gemma":[0.9756888,0.0001007555,0.01319144,0.001020745,0.0001518949,0.002887751,0.0001561707,0.0000880463,0.006714448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237784,"threshold_uncertainty_score":0.04557931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04313970960153739,"score_gpt":0.3411589305554191,"score_spread":0.2980192209538817,"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."}}