{"id":"W4409493902","doi":"10.1523/eneuro.0576-24.2025","title":"My 50 Year Odyssey to Develop Behavioral Methods to Let Me See Quickly How Well Kittens See","year":2025,"lang":"en","type":"article","venue":"eNeuro","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Visual cortex; Visual perception; Neuroscience; Artificial intelligence; Psychology; Computer science; Perception","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004061388,0.0002374677,0.0002418347,0.0002685648,0.0002453228,0.0002425569,0.0005100843,0.0001030621,0.0003608421],"category_scores_gemma":[0.0008764184,0.0002349711,0.00006005044,0.001281754,0.00003965824,0.0001441289,0.0002856146,0.0002588119,0.001657432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005346271,"about_ca_system_score_gemma":0.0001534541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000168259,"about_ca_topic_score_gemma":0.00001653086,"domain_scores_codex":[0.9978979,0.0003867871,0.0002215655,0.0007267574,0.0003176159,0.0004493532],"domain_scores_gemma":[0.9990386,0.0001445067,0.00005013336,0.0003982586,0.0001059583,0.000262481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000349334,0.00006725082,0.00006281029,0.00001649223,0.000001405216,0.00001717114,0.0007133802,0.00002459237,0.9699246,0.001222795,0.01764686,0.01026773],"study_design_scores_gemma":[0.000223476,0.0002031104,0.001788765,0.00002937903,0.0000153635,0.00001012642,0.0001915472,0.00005920143,0.6394454,0.0003377527,0.3574151,0.0002807974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7767956,0.00001429145,0.182679,0.01811619,0.003799412,0.0007971837,0.00004337501,0.0007444374,0.01701052],"genre_scores_gemma":[0.8249894,0.000009068065,0.06592771,0.04215536,0.0001595565,0.00006213055,0.000004762639,0.0000661828,0.06662579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3397682,"threshold_uncertainty_score":0.9991199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0900925798655374,"score_gpt":0.4103701029547365,"score_spread":0.3202775230891991,"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."}}