{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001051876,0.0001504116,0.0002443274,0.00005310666,0.0008733447,0.0002675363,0.0001435294,0.0000573198,0.0001612966],"category_scores_gemma":[0.0003722466,0.0001378177,0.00003448943,0.0003259747,0.0001651903,0.0005190634,0.0001729781,0.00004936479,0.0003879217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920121,"about_ca_system_score_gemma":0.00003544522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007772871,"about_ca_topic_score_gemma":0.0001963198,"domain_scores_codex":[0.9990487,0.00007093533,0.0001584367,0.0002546906,0.0001982167,0.000269094],"domain_scores_gemma":[0.9992411,0.00003362188,0.00009460583,0.0001381204,0.0004223704,0.00007020123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004170321,0.0003189266,0.5036747,0.00002132585,0.000496497,0.00000426861,0.2691412,0.000005469274,0.0214602,0.01435643,0.1882103,0.00230654],"study_design_scores_gemma":[0.0004031554,0.00007024025,0.0167382,0.00003071669,0.00004817552,6.661659e-7,0.8602759,0.00000174379,0.06492528,0.0006185462,0.05628363,0.0006037446],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421076,0.005847577,0.00003476357,0.02901387,0.00113301,0.000744889,0.000005233008,0.0003992247,0.02071382],"genre_scores_gemma":[0.9877844,0.001340211,0.0005532371,0.0003991962,0.0002191574,0.00009963771,0.00000368951,0.00002583493,0.009574679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5911347,"threshold_uncertainty_score":0.671715,"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."}}