{"id":"W1939424142","doi":"10.3968/j.css.1923669720100604.002","title":"Evaluation on Integrated Innovation Capability of Regions Based on Principal Component Analysis","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Key (lock); Principal (computer security); sort; Business; Component (thermodynamics); Statistical analysis; Industrial organization; Regional science; Computer science; Statistics; Mathematics; Artificial intelligence; Sociology; Database","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002843352,0.00008578321,0.0001045717,0.0002864331,0.0004632449,0.000020607,0.0002542316,0.00007662358,0.001358447],"category_scores_gemma":[0.0004195558,0.00008364058,0.0000506831,0.00269479,0.001256477,0.0001337362,0.00002026754,0.0001847717,0.00006258127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529807,"about_ca_system_score_gemma":0.0002362479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03129272,"about_ca_topic_score_gemma":0.132026,"domain_scores_codex":[0.9981525,0.0001315103,0.0002077477,0.0003077569,0.0009573716,0.0002431071],"domain_scores_gemma":[0.9993871,0.00004696408,0.0001155794,0.000245658,0.00004461008,0.0001600572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000826981,0.0007741907,0.5039221,0.0000106727,0.00006110079,0.000003646577,0.003874445,0.01983959,0.3006485,0.08315505,0.001036121,0.08659195],"study_design_scores_gemma":[0.0001664174,0.00006040292,0.9543527,0.000003216659,0.00006045595,1.019901e-7,0.0001955018,0.03666459,0.00457743,0.0006100521,0.003167917,0.0001412165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444172,3.038965e-7,0.0002406571,0.0007750812,0.0001088776,0.0002218371,0.00004963111,0.000008877471,0.05417753],"genre_scores_gemma":[0.9990519,1.574378e-7,0.0001342707,0.0007103298,0.00001914639,0.00001235492,0.00003838185,0.000002931976,0.00003050781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4504306,"threshold_uncertainty_score":0.9995545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269534743784656,"score_gpt":0.2934651576429397,"score_spread":0.2607698102050932,"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."}}