{"id":"W1795052856","doi":"10.3968/j.css.1923669720120801.2090","title":"Forsighting and Evaluating Iran’s Automotive Industry Development Applying a Scenario Planning Approach","year":2012,"lang":"en","type":"article","venue":"Canadian social science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Delphi; Scenario planning; Delphi method; Futures contract; Process management; Key (lock); Computer science; Operations research; Business; Operations management; Marketing; Engineering; Artificial intelligence; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02662308,0.001438447,0.0004762069,0.006642997,0.001867975,0.005002201,0.001382846,0.001030259,0.004585579],"category_scores_gemma":[0.02752873,0.0005042934,0.001320893,0.003326654,0.002022484,0.003973159,0.003800136,0.001145464,0.0003182398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008284951,"about_ca_system_score_gemma":0.01079885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008168815,"about_ca_topic_score_gemma":0.01031475,"domain_scores_codex":[0.9769788,0.01817302,0.000974759,0.0006330782,0.00240668,0.0008336788],"domain_scores_gemma":[0.9757952,0.01472737,0.001653963,0.001068587,0.005979616,0.0007751962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009563913,0.0007523095,0.04820024,0.003196605,0.0005367491,0.002374703,0.0464926,0.2493279,0.009495954,0.1247961,0.009408174,0.5044623],"study_design_scores_gemma":[0.0003461213,0.002721024,0.05450613,0.003773693,0.000657103,0.001796065,0.2190087,0.437463,0.02283601,0.1418495,0.1143868,0.0006558906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5937915,0.001435619,0.2793565,0.00381617,0.0001379296,0.006435693,0.0009840161,0.0005243013,0.1135182],"genre_scores_gemma":[0.8405625,0.0006227231,0.155306,0.00009211597,0.00001375593,0.001039431,0.0004306169,0.00002513075,0.001907745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02662308,"threshold_uncertainty_score":0.140798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3555812871782759,"score_gpt":0.4428668472596086,"score_spread":0.0872855600813327,"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."}}