{"id":"W3122471090","doi":"10.18235/0006945","title":"Innovation and Productivity in Services: Evidence from Chile","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Productivity; Business; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001212279,0.00009835468,0.0001291816,0.0001705501,0.000101243,0.00009503628,0.000152971,0.0001876451,0.00008155124],"category_scores_gemma":[0.0001465545,0.00009378715,0.00000924264,0.0006093824,0.00007146384,0.0006893805,0.0002075301,0.0002200242,0.0000149047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073489,"about_ca_system_score_gemma":0.0002030531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821814,"about_ca_topic_score_gemma":0.006265396,"domain_scores_codex":[0.9989303,0.00009387202,0.000232389,0.0002943761,0.0003004503,0.0001486233],"domain_scores_gemma":[0.9994383,0.00006522946,0.0001561247,0.0001295745,0.0001897892,0.00002091476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001855909,0.00006529856,0.8565274,0.0001353775,0.00001717181,4.396828e-7,0.03341483,0.000005742443,0.0006570611,0.06854826,0.0006248309,0.03998496],"study_design_scores_gemma":[0.00004754267,0.000001925278,0.9566872,0.0003358282,0.000003331608,4.466582e-8,0.0005660612,0.00002770268,0.0001777443,0.03347103,0.008518382,0.0001632403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752281,0.0001903701,0.00013722,0.004601589,0.0005237653,0.0003800482,0.000002381967,0.00004393746,0.01889263],"genre_scores_gemma":[0.9964027,0.0005129873,0.00143174,0.0001641304,0.0005127768,0.00003459376,0.00008743989,0.000005026113,0.0008486496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001597,"threshold_uncertainty_score":0.9883196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08482755425316035,"score_gpt":0.3353840957606515,"score_spread":0.2505565415074911,"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."}}