{"id":"W4386473069","doi":"10.32470/ccn.2023.1620-0","title":"Characterising the spatiotemporal profiles of neural object representations using implicit and explicit similarity judgement tasks","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Judgement; Similarity (geometry); Artificial intelligence; Computer science; Object (grammar); Pattern recognition (psychology); Natural language processing; Image (mathematics); Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354478,0.0002809739,0.0003849624,0.0007191463,0.0001335477,0.001691654,0.0004912819,0.0006614481,0.001812349],"category_scores_gemma":[0.01552482,0.0002197207,0.0002916977,0.0008964946,0.0003166509,0.002741463,0.001004,0.0008961927,0.00038256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874994,"about_ca_system_score_gemma":0.0003385281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001679401,"about_ca_topic_score_gemma":0.002014362,"domain_scores_codex":[0.9996501,0.00008313076,0.00003619671,0.0001008371,0.00007879463,0.00005095954],"domain_scores_gemma":[0.9961584,0.002323208,0.0004886232,0.0004950644,0.0003422232,0.0001924751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004617055,0.0007503324,0.1175197,0.000700627,0.0004071324,0.0002560599,0.001859458,0.03126987,0.3727043,0.009416555,0.001977549,0.4585215],"study_design_scores_gemma":[0.0001324751,0.000876878,0.3282151,0.00007923043,0.0001761822,0.0005487909,0.0007694071,0.5764891,0.06513631,0.02590752,0.001539903,0.0001290913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580782,0.0001696978,0.03961027,0.00008785397,0.00001619924,0.00003209374,0.0004193366,0.0001047728,0.001481525],"genre_scores_gemma":[0.9935257,0.00007284117,0.005314015,0.00001514725,0.000006915171,0.00001394632,0.0004352164,0.00003064499,0.0005856157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001812349,"threshold_uncertainty_score":0.007163227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05749338431963872,"score_gpt":0.3195424767121744,"score_spread":0.2620490923925357,"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."}}