{"id":"W7028855071","doi":"","title":"Impulsores e inhibidores del consumo de energía en el sector residencial andaluz (2014-2018)","year":2022,"lang":"es","type":"dissertation","venue":"idUS (Universidad de Sevilla)","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Consumption (sociology); Quarter (Canadian coin)","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":[0.0006063351,0.0002845828,0.0002444131,0.0007244743,0.0003230879,0.001173067,0.0005169225,0.000335908,0.003225253],"category_scores_gemma":[0.001749738,0.0001666868,0.0003753795,0.001124148,0.0003053588,0.0004405905,0.0007616995,0.0004096614,0.0005661079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613274,"about_ca_system_score_gemma":0.001858408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1461122,"about_ca_topic_score_gemma":0.1963348,"domain_scores_codex":[0.9997036,0.00004066411,0.0000171019,0.00005451344,0.00009907863,0.00008499508],"domain_scores_gemma":[0.999201,0.0001602613,0.0001968235,0.00002902277,0.0003573215,0.00005558484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001867264,0.0002170973,0.8029096,0.001020587,0.0003709271,0.0006170218,0.006306462,0.005893452,0.008862958,0.00306463,0.009016638,0.1598534],"study_design_scores_gemma":[0.00002074631,0.0001672806,0.9666319,0.0002221114,0.00009963215,0.00006586213,0.006160788,0.001370251,0.002846126,0.0005894389,0.02180043,0.00002543491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765985,0.001667443,0.000862323,0.0008010844,0.0000368354,0.0000372399,0.00418541,0.00007354006,0.01573774],"genre_scores_gemma":[0.9856302,0.0015661,0.0007168242,0.0001338335,0.00002220305,0.00006350302,0.003071693,0.00002494981,0.008770568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1461122,"threshold_uncertainty_score":0.2905235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00901956038238255,"score_gpt":0.2974097175498963,"score_spread":0.2883901571675137,"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."}}