{"id":"W2102015838","doi":"10.5539/ibr.v8n2p16","title":"Critical Determinants of Technological Innovation: A Conceptual Framework and a Case Study from Iraq","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge sharing; Business; Knowledge management; Market orientation; Conceptual framework; Perspective (graphical); Relation (database); Conceptual model; Industrial organization; Marketing; Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009661639,0.00007454521,0.0001388898,0.0003608276,0.00006435293,0.0001500391,0.000634241,0.00008219115,0.00002751826],"category_scores_gemma":[0.004079308,0.00006515501,0.000008595388,0.0008362894,0.0004386879,0.0003602046,0.0009095322,0.0002263622,0.00002256907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006632983,"about_ca_system_score_gemma":0.0002392274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000368839,"about_ca_topic_score_gemma":0.00002705714,"domain_scores_codex":[0.9985526,0.00008557832,0.0003243778,0.0003251081,0.0005306564,0.0001816908],"domain_scores_gemma":[0.9970744,0.0006887646,0.00004381255,0.0002415046,0.00187675,0.0000748138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007400959,0.0007275981,0.7182786,0.0000105692,0.00004341626,0.004852274,0.003735829,0.000006189774,0.00008106874,0.2356519,0.0003722905,0.03616619],"study_design_scores_gemma":[0.003085009,0.0006285039,0.6193074,0.0002126515,0.000006645082,0.002599403,0.01716794,0.01051368,0.001856483,0.3410892,0.002941941,0.0005911702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642791,0.00004678595,0.03319316,0.001456891,0.0002319567,0.0001430486,0.00000638983,0.00003045578,0.0006122604],"genre_scores_gemma":[0.9814608,0.000002440879,0.01835985,0.00005508161,0.00005373046,0.00003667168,0.000001552046,0.00000354774,0.00002630615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1054372,"threshold_uncertainty_score":0.4883608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1899375886250092,"score_gpt":0.4268581334700725,"score_spread":0.2369205448450633,"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."}}