{"id":"W6987359932","doi":"","title":"Strategic analysis of a semiconductor company’s migration into consumer markets","year":2006,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronics; Core (optical fiber); Core competency; Semiconductor industry; Order (exchange); Competitive advantage; Competition (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009568759,0.000208958,0.00009941555,0.0008861632,0.004821009,0.004870056,0.0004462016,0.001272921,0.005123933],"category_scores_gemma":[0.001221827,0.0001351375,0.0002272976,0.0009973234,0.002255334,0.001983813,0.001729418,0.001290963,0.000342473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00926287,"about_ca_system_score_gemma":0.01020646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05753581,"about_ca_topic_score_gemma":0.1210423,"domain_scores_codex":[0.9992686,0.0002229139,0.00001280882,0.00005564238,0.0001992357,0.0002407499],"domain_scores_gemma":[0.9993359,0.0001521897,0.00005396258,0.00001229326,0.0001806349,0.0002649627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002431926,0.0004943946,0.03594809,0.0001024265,0.00001731946,0.0049683,0.05606857,0.002466359,0.003938415,0.8032257,0.02400732,0.06851996],"study_design_scores_gemma":[0.00009336101,0.0004078446,0.04232002,0.0001883927,0.00003461904,0.001507013,0.573264,0.01656234,0.003613402,0.1056551,0.256242,0.0001119682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7084806,0.0003083118,0.002069567,0.007470716,0.00003336421,0.000100647,0.00004207034,0.00001251911,0.2814822],"genre_scores_gemma":[0.9855474,0.0003118668,0.0008575908,0.0007428942,0.000005494923,0.00002878579,0.00003914005,0.000005463195,0.01246135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05753581,"threshold_uncertainty_score":0.1144019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964858021689518,"score_gpt":0.2654857678392316,"score_spread":0.2258371876223364,"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."}}