{"id":"W4389725314","doi":"10.1101/2023.12.12.571158","title":"Feasibility of cognitive neuroscience data collection during a speleological expedition","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure; Concordia University","funders":"Canadian Space Agency; Concordia University; Government of Canada","keywords":"Cognition; Neuropsychology; Workload; Cognitive neuroscience; Psychology; Computer science; Cognitive neuropsychology; Cognitive science; Cognitive psychology; Data science; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003528022,0.0004084619,0.0003212524,0.001226908,0.0008446231,0.0007450919,0.0006356633,0.0006452749,0.002379466],"category_scores_gemma":[0.005368577,0.0001418327,0.0003038644,0.0006754008,0.0004925872,0.0004336193,0.0009008075,0.0007048079,0.0006662352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646591,"about_ca_system_score_gemma":0.001424556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003527007,"about_ca_topic_score_gemma":0.008418106,"domain_scores_codex":[0.9986179,0.0006337169,0.0001152499,0.0002474536,0.0002719569,0.0001137701],"domain_scores_gemma":[0.9949288,0.001358402,0.0002843666,0.0005246396,0.001878273,0.001025555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007394893,0.002955797,0.5090627,0.001131566,0.0003494776,0.00261513,0.01025241,0.006751336,0.1617932,0.001590208,0.01077963,0.2853237],"study_design_scores_gemma":[0.0002931214,0.004029057,0.9387096,0.0002027703,0.0001021438,0.0005025975,0.006619344,0.01052351,0.0218405,0.001285717,0.0157671,0.0001244791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660296,0.0001042174,0.0228776,0.0004866348,0.0001287257,0.001294729,0.004420271,0.000391186,0.004266862],"genre_scores_gemma":[0.9512797,0.000119226,0.04148474,0.0001936846,0.00008924699,0.002060968,0.003377751,0.0000607828,0.001333977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003528022,"threshold_uncertainty_score":0.01865822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264820895559886,"score_gpt":0.3661524831109542,"score_spread":0.2396703935549656,"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."}}