{"id":"W2032664665","doi":"10.1111/j.1559-3584.2000.tb03317.x","title":"Revolutionary Innovation in a Fiscally Constrained Environment","year":2000,"lang":"en","type":"article","venue":"Naval Engineers Journal","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Premise; Modernization theory; Variety (cybernetics); Order (exchange); Technological change; Globalization; Emerging technologies; Engineering; Risk analysis (engineering); Business; Industrial organization; Computer science; Economics; Economic growth","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":[0.002691626,0.0001671201,0.0002449838,0.001130867,0.003633433,0.007741674,0.000619691,0.001274707,0.006139922],"category_scores_gemma":[0.006632867,0.0001498777,0.0001905552,0.001046983,0.004615595,0.003456498,0.004191507,0.00143172,0.0004929031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006770479,"about_ca_system_score_gemma":0.01531719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01569868,"about_ca_topic_score_gemma":0.02033255,"domain_scores_codex":[0.9976923,0.0007347886,0.00007882375,0.000153085,0.0005755114,0.0007654486],"domain_scores_gemma":[0.9950128,0.001946037,0.001121515,0.0003155191,0.0007756201,0.0008285271],"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":[0.0001192835,0.0001393122,0.005451236,0.00006732922,0.00001886749,0.0006694391,0.001529511,0.01400126,0.0005293054,0.9502118,0.007064731,0.02019786],"study_design_scores_gemma":[0.0001441231,0.0002266932,0.01520696,0.0003317578,0.00002805729,0.0003614497,0.01366413,0.01775543,0.001364372,0.7410253,0.2098146,0.00007703503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5963776,0.001630432,0.007885279,0.02835908,0.0002360065,0.00007783659,0.0001401239,0.00006130621,0.3652323],"genre_scores_gemma":[0.9941419,0.0004433188,0.0006074589,0.0006925523,0.00004599651,0.00002422737,0.00002291693,0.000004445582,0.004017278],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01569868,"threshold_uncertainty_score":0.04912347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004165888022354797,"score_gpt":0.1838913688689898,"score_spread":0.179725480846635,"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."}}