{"id":"W1637490460","doi":"10.3233/wor-2012-0523-2776","title":"Linking human factors to corporate strategy with cognitive mapping techniques","year":2012,"lang":"en","type":"article","venue":"Work","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive map; Cognition; Process management; Knowledge management; Strategy map; Strategic planning; Computer science; Business; Strategic management; Psychology; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000366584,0.0001564378,0.0001407792,0.0001807252,0.0003088561,0.0002119242,0.0004148579,0.00004287222,0.00001280919],"category_scores_gemma":[0.00002269868,0.0001250547,0.00003197442,0.001244187,0.00006391169,0.0007831802,0.0002128724,0.0001540533,0.00006442364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003477243,"about_ca_system_score_gemma":0.00004171084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001318952,"about_ca_topic_score_gemma":0.000007462618,"domain_scores_codex":[0.9987456,0.00004308606,0.0001420314,0.0003185631,0.0002492052,0.0005014972],"domain_scores_gemma":[0.9992781,0.0000723572,0.0001207638,0.0002014571,0.00013257,0.0001946961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001929239,0.0002037058,0.5092858,0.00003371724,0.00006119702,0.00004521658,0.022281,0.00001356805,0.01326374,0.0440344,0.0004943953,0.410264],"study_design_scores_gemma":[0.0005948669,0.0008846369,0.8715597,0.003049707,0.00003876031,0.00003544226,0.006367794,0.00009581381,0.09577589,0.008715109,0.01066504,0.002217275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.495109,0.0000346706,0.4911292,0.00008709732,0.0001155767,0.0002601066,0.000001068783,0.0002974801,0.01296583],"genre_scores_gemma":[0.9863767,0.000001052437,0.01278867,0.0004346634,0.0001275197,0.00002512881,0.000003511379,0.000008888717,0.0002338704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4912677,"threshold_uncertainty_score":0.5099581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08355342159006893,"score_gpt":0.2866734395877268,"score_spread":0.2031200179976579,"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."}}