{"id":"W2171825803","doi":"","title":"Characteristics of International Robot Industry Development and Its Enlightenment to China","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enlightenment; China; Plan (archaeology); Context (archaeology); Robot; Perspective (graphical); Business; Economic growth; Economics; Political science; Computer science; Law; Artificial intelligence","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":[0.0003817179,0.00004242498,0.00009632603,0.0002004529,0.00008715357,0.00003322511,0.0002065291,0.00007919771,0.00005190011],"category_scores_gemma":[0.0001300897,0.00004980131,0.000006790992,0.0002702263,0.00007894391,0.0001130167,0.00005183602,0.0000763903,0.00004931899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572885,"about_ca_system_score_gemma":0.0001496321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006834574,"about_ca_topic_score_gemma":0.0002309602,"domain_scores_codex":[0.9994479,0.000001132692,0.0002118501,0.0001583118,0.00003106388,0.0001497497],"domain_scores_gemma":[0.9996294,0.0000020313,0.0000958658,0.00004267318,0.00004765041,0.0001823634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000111237,0.000009016551,0.1383309,0.000001597315,0.000004133573,0.000001291181,0.0008887511,5.047846e-7,0.00004045406,0.8460508,0.0002289255,0.01444256],"study_design_scores_gemma":[0.0001629699,0.00002945715,0.8453816,0.000006849784,7.679064e-7,0.000001472373,0.000420681,0.0002347119,0.001064584,0.006499423,0.1459919,0.0002055716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936154,0.00002261388,0.0001043703,0.001487173,0.000238006,0.00005770546,0.000037196,0.00000619532,0.06189274],"genre_scores_gemma":[0.9988765,0.000001976648,0.000492766,0.0003313558,0.00004287219,0.0000051063,0.000003055189,0.000002216507,0.0002442066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8395514,"threshold_uncertainty_score":0.2030838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06615558580875613,"score_gpt":0.2386024093571877,"score_spread":0.1724468235484315,"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."}}