{"id":"W203639494","doi":"10.69645/tgpz7006","title":"Strategizing talk and text","year":2012,"lang":"en","type":"article","venue":"˜The œbusiness & management collection.","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002142141,0.0005693378,0.0002303744,0.001288252,0.00168838,0.008771863,0.0005678366,0.001788431,0.01818211],"category_scores_gemma":[0.01163682,0.0003392764,0.000352757,0.0007203282,0.004040681,0.009361438,0.003180723,0.001805902,0.003321504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009581252,"about_ca_system_score_gemma":0.000865955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005000994,"about_ca_topic_score_gemma":0.0005500871,"domain_scores_codex":[0.9977207,0.00139041,0.00005964534,0.0002796671,0.0003411408,0.0002085939],"domain_scores_gemma":[0.9956635,0.002841158,0.0004313562,0.0003389875,0.0004130392,0.000312009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004449547,0.0001350844,0.005307951,0.000410716,0.00007519166,0.0005704495,0.06271197,0.00175372,0.009321257,0.7646629,0.0188691,0.1357368],"study_design_scores_gemma":[0.00009394599,0.000248458,0.008372776,0.000579227,0.00009470964,0.0006568223,0.06870238,0.00878579,0.007281071,0.7243416,0.1807247,0.0001185099],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1539465,0.002463082,0.07147055,0.01478896,0.0007029315,0.0000784314,0.0001998332,0.0005311073,0.7558185],"genre_scores_gemma":[0.9671304,0.0006332227,0.007212555,0.0006772988,0.0001536649,0.00004940366,0.0001456127,0.000156955,0.02384073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01818211,"threshold_uncertainty_score":0.06082517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995883062353585,"score_gpt":0.2673392382455237,"score_spread":0.2473804076219878,"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."}}