{"id":"W3130118517","doi":"10.51598/tab.848","title":"Adaptación a entornos cambiantes","year":2021,"lang":"es","type":"article","venue":"Tábula","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Humanities; Coronavirus disease 2019 (COVID-19); Sociology; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005100726,0.0007315591,0.0005045795,0.002190816,0.006827132,0.01070191,0.001784696,0.001872724,0.03022662],"category_scores_gemma":[0.01554556,0.0003718644,0.0005010057,0.002005063,0.003794432,0.005005166,0.009315547,0.001511987,0.004964238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894042,"about_ca_system_score_gemma":0.004487189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0274717,"about_ca_topic_score_gemma":0.04569743,"domain_scores_codex":[0.9954764,0.002187227,0.0001254893,0.0005354726,0.0009452727,0.0007300928],"domain_scores_gemma":[0.9954363,0.0009581295,0.0004370995,0.000824107,0.001488297,0.0008561075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004433352,0.0006850158,0.04719841,0.0003468222,0.00003976326,0.003948292,0.6182807,0.0004819867,0.004897635,0.04204455,0.01881078,0.2628226],"study_design_scores_gemma":[0.0000362397,0.000311399,0.03326046,0.000477076,0.0000513519,0.0007650284,0.5069734,0.000490771,0.001208288,0.007552238,0.4488239,0.00004981266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841885,0.001965225,0.004002314,0.00438792,0.0005260019,0.0002783005,0.0001489198,0.0003241515,0.3041787],"genre_scores_gemma":[0.8461304,0.00191266,0.003824903,0.00106161,0.00009857553,0.000248346,0.0002264567,0.0002677811,0.1462293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03022662,"threshold_uncertainty_score":0.1011181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232249453346268,"score_gpt":0.2567169578101064,"score_spread":0.2443944632766438,"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."}}