{"id":"W7064525802","doi":"","title":"Cervical-uterin cancer prevention analyzed through evaluative research: Multi-actoral assesment of policie’s scope in Gran San Juan","year":2018,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Primary health care; Quarter (Canadian coin); Context (archaeology)","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":[],"consensus_categories":[],"category_scores_codex":[0.01483976,0.0003217959,0.0006434473,0.001975014,0.003041788,0.002988414,0.0009020405,0.0005647487,0.001988968],"category_scores_gemma":[0.01416084,0.0003873982,0.0005093223,0.003640076,0.002373169,0.0008116934,0.003763152,0.0007573531,0.0001074835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0214491,"about_ca_system_score_gemma":0.04006739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2838304,"about_ca_topic_score_gemma":0.383384,"domain_scores_codex":[0.9919533,0.005218835,0.0002479073,0.0004610602,0.0007291106,0.001389744],"domain_scores_gemma":[0.988436,0.004400424,0.002430454,0.000692541,0.002634321,0.001406253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000879714,0.0005336822,0.8649912,0.001026927,0.0003786947,0.0004087601,0.06394707,0.00123767,0.0005613868,0.005777925,0.003457153,0.05679984],"study_design_scores_gemma":[0.00007607699,0.0004255736,0.849447,0.0008026398,0.0002153282,0.00006205588,0.1294212,0.0006386618,0.0003725321,0.001248919,0.01726156,0.00002851408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853731,0.001791459,0.0003837509,0.003116316,0.00004965835,0.0002890444,0.0003001564,0.00001273255,0.008683753],"genre_scores_gemma":[0.9954433,0.001066535,0.000706762,0.0003044874,0.00002083039,0.0002780799,0.0001851643,0.00000846418,0.001986386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2838304,"threshold_uncertainty_score":0.5643567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3599332131128725,"score_gpt":0.5230813339320594,"score_spread":0.1631481208191868,"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."}}