{"id":"W4317254435","doi":"10.1016/j.lssr.2023.01.004","title":"Automated pupillometry in space neuroscience","year":2023,"lang":"en","type":"article","venue":"Life Sciences in Space Research","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pupillometry; Pupillary light reflex; Pupil; Space (punctuation); Reflex; Neuroscience; Pupillary reflex; Pupil size; Computer science; Intracranial pressure; Artificial intelligence; Psychology; Medicine; Surgery","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01093356,0.0001738435,0.0003942537,0.004149927,0.0002410426,0.00007537768,0.0007916552,0.0001868664,0.00007177106],"category_scores_gemma":[0.01277413,0.0001375047,0.00004898857,0.02551828,0.002391573,0.0002415093,0.0005571506,0.0009176565,0.0006877254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259507,"about_ca_system_score_gemma":0.0009418597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007327258,"about_ca_topic_score_gemma":0.0002263752,"domain_scores_codex":[0.9945361,0.0007205022,0.0002991587,0.0009795958,0.00177105,0.001693579],"domain_scores_gemma":[0.9975617,0.001377571,0.00005022688,0.0005320006,0.0001312041,0.0003472813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001269305,0.0001761006,0.8765826,0.00009685557,0.000002748028,0.0007943808,0.0006041228,0.000395834,0.09223001,0.00366269,0.02476295,0.0005647268],"study_design_scores_gemma":[0.001236879,0.001451592,0.8705576,0.0002482825,0.000002056394,0.0000559063,0.001879845,0.1090265,0.0044631,0.0005022673,0.01032633,0.000249683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94137,0.000332041,0.000007328973,0.03909772,0.0004813786,0.0007488148,0.000002277305,0.0004351312,0.01752535],"genre_scores_gemma":[0.9957721,0.0005135248,0.0004756697,0.0004873652,0.00008871313,0.00006663343,0.000002061903,0.00001774453,0.002576232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086306,"threshold_uncertainty_score":0.9955417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542841036397604,"score_gpt":0.4947422907126009,"score_spread":0.3404581870728405,"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."}}