{"id":"W3007404774","doi":"10.1016/j.dib.2020.105324","title":"The data on psychological adaptation during polar winter-overs in Sub-Antarctic and Antarctic stations","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Space Agency; Institut Polaire Français Paul Emile Victor; Conseil régional de Bourgogne-Franche-Comté; Centre National d’Etudes Spatiales; European Space Agency","keywords":"Exploratory factor analysis; Adaptation (eye); Polar; Confirmatory factor analysis; Sample (material); Exploratory research; Reliability (semiconductor); Construct validity; Psychology; Structural equation modeling; Construct (python library); Applied psychology; Climatology; Psychometrics; Computer science; Clinical psychology; Statistics; Geology; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003862135,0.0001065379,0.000177434,0.00006382974,0.00005793291,0.00002829201,0.0004092033,0.00006428701,0.0000243385],"category_scores_gemma":[0.001566713,0.00007670499,0.000008913357,0.0002344847,0.0001212702,0.0002246757,0.0003414726,0.0003389227,0.00002854226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004897963,"about_ca_system_score_gemma":0.00002696216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004949942,"about_ca_topic_score_gemma":0.001479092,"domain_scores_codex":[0.9987326,0.0001548515,0.0002186417,0.0005472099,0.0001347917,0.0002119091],"domain_scores_gemma":[0.99837,0.0004600473,0.00005305275,0.001018406,0.00001321469,0.00008531742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008528492,0.001051728,0.8763526,0.0004331404,0.000244787,0.001558435,0.004040863,0.00005727592,0.05003577,0.0008242773,0.02993041,0.02694224],"study_design_scores_gemma":[0.002640249,0.0005662066,0.9777511,0.0001019453,0.00003280233,0.00008003266,0.0005218188,0.006836676,0.0001469748,0.0000403659,0.0111604,0.0001213976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797881,0.0002276073,0.0001060359,0.01864887,0.00009410377,0.000403902,0.0006304082,0.00002644744,0.00007451342],"genre_scores_gemma":[0.9939643,0.0005143533,0.0004219871,0.002287988,0.00007310289,0.000007572098,0.002714421,0.00001151429,0.000004799951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013985,"threshold_uncertainty_score":0.3127939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08855531684693714,"score_gpt":0.3513298268696562,"score_spread":0.2627745100227191,"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."}}