{"id":"W2041649266","doi":"10.1037/cjep2006006","title":"Conformity in a generative linguistic task: The role of category and strategic nonword use.","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conformity; Task (project management); Psychology; Sample (material); Linguistics; Word (group theory); Generative grammar; Cognitive psychology; Social psychology; Natural language processing; Computer 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":[0.009235948,0.0005360973,0.0005203382,0.0006588579,0.0004312673,0.001517336,0.0008290806,0.0009746942,0.00127844],"category_scores_gemma":[0.0798407,0.0006361545,0.0003087508,0.0004330724,0.001245655,0.001519871,0.001887744,0.00140832,0.0002659507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855871,"about_ca_system_score_gemma":0.0003820227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000582443,"about_ca_topic_score_gemma":0.0009820365,"domain_scores_codex":[0.9933279,0.003287414,0.000591688,0.001078762,0.001521659,0.0001926099],"domain_scores_gemma":[0.9401493,0.04194966,0.008621437,0.006316741,0.001409226,0.001553691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00678652,0.005912417,0.2407417,0.0008725261,0.0005825701,0.0008184423,0.02689777,0.001904929,0.5592895,0.006077894,0.001113428,0.1490022],"study_design_scores_gemma":[0.0007253471,0.008013202,0.8710008,0.0001407886,0.0003443653,0.002299888,0.00304243,0.01546864,0.07771045,0.01763112,0.003301453,0.0003214559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992206,0.00005425475,0.005166953,0.00005473631,0.00001786682,0.0001179112,0.00003038358,0.00005755704,0.002294308],"genre_scores_gemma":[0.9909486,0.00004265578,0.007881363,0.0001385429,0.00001216934,0.0002071044,0.000111488,0.00005195742,0.0006061181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009235948,"threshold_uncertainty_score":0.04884493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401495629770966,"score_gpt":0.2835813911765384,"score_spread":0.2495664348788287,"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."}}