{"id":"W2328179304","doi":"10.5430/ijhe.v5n2p173","title":"Interdisciplinary Approach: A Lever to Business Innovation","year":2016,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Knowledge management; Value (mathematics); Key (lock); Discipline; Computer science; Engineering ethics; Management science; Business; Sociology; Engineering; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001622774,0.0001270368,0.0001900428,0.001773814,0.00008385273,0.0003384072,0.001292285,0.00006278159,0.001062852],"category_scores_gemma":[0.0009596852,0.00007340627,0.00008454172,0.00197674,0.00005729354,0.001571824,0.0003679775,0.0001131471,0.0003793074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003750161,"about_ca_system_score_gemma":0.0007417199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002427445,"about_ca_topic_score_gemma":0.00000413166,"domain_scores_codex":[0.9962071,0.0001493396,0.001061483,0.0002648169,0.002145364,0.0001718648],"domain_scores_gemma":[0.9875258,0.0002524043,0.0006554396,0.0002773026,0.01116374,0.0001252819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001413412,0.0009548466,0.009240044,0.000004974525,0.0001289994,0.00001791193,0.001745549,0.0001447367,0.03710851,0.05060485,0.5349966,0.3636396],"study_design_scores_gemma":[0.001306636,0.0004804027,0.5421935,0.0002969699,0.00001748703,0.0002664867,0.002066901,0.00003750467,0.002892487,0.1581111,0.2919778,0.0003527531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7387348,0.00009899501,0.07151856,0.1486951,0.0132865,0.0002707859,0.00002590093,0.00002035858,0.02734901],"genre_scores_gemma":[0.9625084,0.000002883484,0.002414853,0.0006740569,0.00234948,0.00001818886,0.000007467166,0.00001221294,0.03201243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5329534,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09761592308324428,"score_gpt":0.4709697977177051,"score_spread":0.3733538746344608,"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."}}