{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007379819,0.0002065439,0.0001715238,0.002226404,0.001281537,0.002183208,0.000265186,0.0002561517,0.003873891],"category_scores_gemma":[0.001442872,0.00007053453,0.0001980261,0.003796909,0.0007337686,0.0007610488,0.0009918021,0.0004460553,0.0003096206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004052669,"about_ca_system_score_gemma":0.005268616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04684491,"about_ca_topic_score_gemma":0.05063631,"domain_scores_codex":[0.9994125,0.00004709666,0.00003690867,0.00005606259,0.0001645632,0.0002828355],"domain_scores_gemma":[0.9986103,0.0001111952,0.0004040747,0.00005799277,0.0004087754,0.0004076919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002025685,0.000180248,0.7929088,0.0002363777,0.00006067811,0.001544652,0.01161969,0.002493343,0.00287213,0.05730063,0.01398724,0.1165934],"study_design_scores_gemma":[0.000007298059,0.00009815372,0.8989691,0.00006290723,0.00001842707,0.0002232958,0.006251759,0.0007901461,0.0008652241,0.001141294,0.09154846,0.00002398665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285099,0.0009279268,0.0002444861,0.001387035,0.00002335421,0.00003030207,0.0004421052,0.00002800162,0.06840691],"genre_scores_gemma":[0.9891464,0.0009782448,0.0001122424,0.0001081263,0.00001724001,0.00001341921,0.0003889119,0.00000756226,0.009227919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04684491,"threshold_uncertainty_score":0.09314448,"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."}}