{"id":"W2968720618","doi":"10.5334/ijic.s3524","title":"Etxean bizi. Metodología de estudio","year":2019,"lang":"es","type":"article","venue":"International Journal of Integrated Care","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Library science; Field (mathematics); Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009696853,0.0003098838,0.0006857416,0.0004174211,0.00005208598,0.0001025226,0.0006997262,0.0002844347,0.001927621],"category_scores_gemma":[0.001378833,0.0002336099,0.0004796099,0.000232883,0.0001506877,0.0002279231,0.00007782127,0.001243752,0.0003014018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002834501,"about_ca_system_score_gemma":0.003259178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009173276,"about_ca_topic_score_gemma":0.00006150291,"domain_scores_codex":[0.9968873,0.0002935399,0.001084047,0.0002866428,0.001051359,0.0003971259],"domain_scores_gemma":[0.9941849,0.0003385272,0.0007905868,0.0002944134,0.004022464,0.0003691505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001430728,0.0003330149,0.9639407,0.0002614163,0.001159999,0.0004789013,0.004845355,0.0001010013,0.002208458,0.00135513,0.004785098,0.01910015],"study_design_scores_gemma":[0.01247497,0.004513455,0.6575426,0.007439988,0.001196407,0.003575397,0.1498335,0.0007235698,0.01357965,0.001333307,0.1468179,0.0009693034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733824,0.00570395,0.000500656,0.002915636,0.006028274,0.0002491244,0.0001106374,0.00002674811,0.01108262],"genre_scores_gemma":[0.9939232,0.00117031,0.0006840245,0.0018795,0.001543875,0.000002238879,0.000061715,0.00003691973,0.0006982451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3063982,"threshold_uncertainty_score":0.9989848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005342319039043,"score_gpt":0.3456244797203688,"score_spread":0.3255710565299784,"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."}}