{"id":"W4238592173","doi":"10.3758/cabn.4.2.115","title":"MULTISENSORY PROCESSES","year":2004,"lang":"en","type":"article","venue":"Cognitive Affective & Behavioral Neuroscience","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Psychology; Computer science; Neuroscience","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":[0.000115547,0.0001775404,0.0001385238,0.00009691114,0.0004098002,0.0002357552,0.0002434404,0.00001911511,0.0001081503],"category_scores_gemma":[0.0001673662,0.00013521,0.00007223482,0.0007480008,0.0008542371,0.0007793978,0.0001257879,0.0001753861,0.0001215896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002882956,"about_ca_system_score_gemma":0.0002961827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002368427,"about_ca_topic_score_gemma":0.00001805161,"domain_scores_codex":[0.9983409,0.00005452279,0.0001160429,0.0006034686,0.0004099754,0.0004751022],"domain_scores_gemma":[0.999191,0.00008630973,0.00006128701,0.0001471639,0.0003163134,0.0001978949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002317474,0.004309969,0.4456981,0.00005182107,0.00001255009,0.0001948656,0.00308796,0.0001717901,0.4378062,0.00509965,0.0002516316,0.1030837],"study_design_scores_gemma":[0.00206218,0.0008401758,0.2719163,0.0001216526,0.00004049693,0.000009215935,0.003498654,0.000022004,0.7150533,0.005502387,0.0003377358,0.0005958828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853242,0.00001892675,0.009804723,0.00003956859,0.0002844578,0.0004463421,0.0001565847,0.00005449313,0.00387069],"genre_scores_gemma":[0.9991288,0.000001841728,0.00005811737,0.00007249714,0.00007242598,0.0001017291,0.00001296778,0.00001282109,0.0005388257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.277247,"threshold_uncertainty_score":0.5513705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149671761111903,"score_gpt":0.3593484253078986,"score_spread":0.3078517076967796,"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."}}