{"id":"W7097971019","doi":"","title":"Keywords: Non-linearity, Sectoral Shares","year":2003,"lang":"en","type":"article","venue":"","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Univariate; Unemployment; Aggregate (composite); Multivariate statistics; Aggregate data; Statistical evidence; Linearity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007490756,0.0005840042,0.000738713,0.00109988,0.0007282433,0.002945663,0.00144667,0.0009551871,0.03500009],"category_scores_gemma":[0.05914765,0.0003160516,0.0008907303,0.003654195,0.003084176,0.003958424,0.001142578,0.00144953,0.003892532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795839,"about_ca_system_score_gemma":0.002822456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009295348,"about_ca_topic_score_gemma":0.005509904,"domain_scores_codex":[0.9946227,0.001547254,0.0003944029,0.001254127,0.001661248,0.0005203357],"domain_scores_gemma":[0.8937345,0.08368602,0.01330198,0.005416512,0.003043893,0.0008170733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001190883,0.0004163183,0.6847943,0.0006950789,0.001234103,0.002854255,0.002031663,0.05790429,0.003487219,0.1210607,0.008953193,0.1153781],"study_design_scores_gemma":[0.0001934577,0.0009224192,0.4980597,0.0002168737,0.0005409957,0.002453355,0.004629956,0.2053344,0.003090252,0.2695979,0.01483015,0.0001306842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.858245,0.001235347,0.09747794,0.00318795,0.0001028267,0.0002742154,0.003257637,0.000487376,0.03573168],"genre_scores_gemma":[0.9928904,0.0002345982,0.001893576,0.0001094667,0.00006141359,0.00005266395,0.0005805988,0.00002952329,0.004147861],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9649999,"threshold_uncertainty_score":0.1170869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640875770789806,"score_gpt":0.2096686469934989,"score_spread":0.1632598892856008,"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."}}