{"id":"W2027103481","doi":"10.2139/ssrn.537323","title":"Causal Ambiguity, Operating Complexity and Strong Capability-Based Advantages","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ambiguity; Computer science","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":[0.004347271,0.0008191625,0.001049884,0.001429283,0.0007690412,0.00462802,0.001147699,0.00158978,0.009364632],"category_scores_gemma":[0.04717848,0.0005493501,0.0009438157,0.0009792392,0.003793953,0.01171444,0.004539907,0.003610321,0.00042946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006836727,"about_ca_system_score_gemma":0.0007924058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003754959,"about_ca_topic_score_gemma":0.0003342387,"domain_scores_codex":[0.9975297,0.0005845142,0.0001853075,0.000417662,0.0009230432,0.0003599148],"domain_scores_gemma":[0.9362603,0.04929864,0.004730871,0.00586246,0.001502825,0.002344928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004102797,0.0001251281,0.006498725,0.0001496953,0.00008343131,0.0003161634,0.0003732224,0.01292153,0.004134778,0.9420232,0.0006513008,0.03231262],"study_design_scores_gemma":[0.00003395844,0.00007712571,0.003205515,0.00001088609,0.000031372,0.0002320364,0.00006533088,0.01739748,0.0007039723,0.9778304,0.0003886783,0.00002326738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5612581,0.00106166,0.3321207,0.003775266,0.0001148457,0.00007805973,0.0002978113,0.0003706872,0.1009228],"genre_scores_gemma":[0.9904791,0.0001129886,0.008279144,0.00007116308,0.00008495218,0.00002177088,0.00003543638,0.00003082509,0.0008847819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009364632,"threshold_uncertainty_score":0.03132784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668834403700779,"score_gpt":0.286823215864132,"score_spread":0.2601348718271241,"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."}}