{"id":"W4367728234","doi":"10.3756/artsci.20.45","title":"Psychological Evaluation for Images/Videos Using Large LED Display and Projection","year":2021,"lang":"en","type":"article","venue":"The Journal of the Society for Art and Science","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.003344226,0.00005129293,0.00008202379,0.00001175994,0.0006222244,0.00004676538,0.0001385619,0.00003188635,0.00001035533],"category_scores_gemma":[0.000146679,0.00002657536,0.0002178764,0.0001331393,0.0002701355,0.0001281045,0.00004641499,0.00009033661,2.780585e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002486259,"about_ca_system_score_gemma":0.0000652177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002017231,"about_ca_topic_score_gemma":0.000006119028,"domain_scores_codex":[0.9994065,0.0000551077,0.0001410848,0.0001080954,0.0001391445,0.0001500277],"domain_scores_gemma":[0.9994196,0.0001047227,0.0001410072,0.0001049141,0.0002000506,0.00002969009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001617545,0.001369304,0.01419699,0.0002274072,0.0009501262,0.000001058945,0.05361931,0.0006732272,0.7326384,0.03667367,0.06696887,0.09106416],"study_design_scores_gemma":[0.01717561,0.002182072,0.6528196,0.0002251722,0.002237384,0.001133683,0.0451923,0.1635334,0.004383778,0.08609751,0.02419127,0.0008281547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879484,0.0005400307,0.008260953,0.002056266,0.0006101247,0.000313812,0.000005875607,0.000001812181,0.0002627066],"genre_scores_gemma":[0.997771,0.00007940645,0.001400964,0.00036335,0.00008481163,0.000006714129,4.413869e-7,0.000003775045,0.0002894863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7282546,"threshold_uncertainty_score":0.4785709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689614953087371,"score_gpt":0.3955701136514915,"score_spread":0.3486739641206178,"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."}}