{"id":"W2993641763","doi":"","title":"Basic Public Cultural Services Problems and Countermeasure Analysis in Rural","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Countermeasure; Public culture; Perspective (graphical); Public service; Service (business); Rural area; Business; Economic growth; Sociology; Public relations; Political science; Marketing; Computer science; Economics; Politics; Engineering; Law","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":[0.003056517,0.0003778124,0.0003201633,0.004429881,0.005303668,0.005771905,0.001165708,0.002054908,0.0036718],"category_scores_gemma":[0.009315758,0.0002638914,0.000481813,0.004158818,0.007795883,0.00345775,0.003727204,0.002199555,0.000131899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.011493,"about_ca_system_score_gemma":0.01355452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03041069,"about_ca_topic_score_gemma":0.03116357,"domain_scores_codex":[0.9941136,0.002860937,0.0002229185,0.0002859964,0.001499526,0.001017118],"domain_scores_gemma":[0.9948477,0.001773392,0.001102678,0.0002070399,0.001541106,0.0005281285],"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":[0.0001214824,0.0005702213,0.07335226,0.0006911887,0.00005410041,0.001780471,0.03321067,0.00209318,0.001297878,0.8050361,0.006353497,0.07543888],"study_design_scores_gemma":[0.00007319714,0.0007759113,0.1961373,0.001909438,0.0001768223,0.002687098,0.3507345,0.0121187,0.005037189,0.2395447,0.1906535,0.0001516327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7563208,0.005131014,0.007534414,0.07453174,0.0002715395,0.0004679455,0.0001517529,0.00006742429,0.1555234],"genre_scores_gemma":[0.993046,0.001413034,0.001278698,0.0009502899,0.00005310263,0.00007772622,0.00003268561,0.000005487585,0.003142938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03041069,"threshold_uncertainty_score":0.08338791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06472645711241407,"score_gpt":0.2827087542316118,"score_spread":0.2179822971191977,"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."}}