{"id":"W2279787077","doi":"","title":"Changing Our Brains in Uni 102","year":2013,"lang":"en","type":"article","venue":"Divergent/Convergent","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001824655,0.0002121183,0.0001593707,0.0004685876,0.00026905,0.00009832134,0.000339061,0.0000535621,0.003122837],"category_scores_gemma":[0.0003803812,0.000208115,0.00009596469,0.00111361,0.00005654409,0.0005161188,0.0001714257,0.0001847645,0.004886671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123515,"about_ca_system_score_gemma":0.00007476496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000100297,"about_ca_topic_score_gemma":0.00001251092,"domain_scores_codex":[0.9978064,0.0001643168,0.0002996007,0.0006606267,0.0004337268,0.0006353122],"domain_scores_gemma":[0.9992499,0.00004947011,0.0001091329,0.0002769665,0.00007398775,0.0002405532],"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":[0.00003261677,0.0009853521,0.08817515,0.0000420805,0.000007927026,0.00005083914,0.003236411,0.00005243954,0.8714111,0.005744765,0.01876587,0.01149547],"study_design_scores_gemma":[0.001551775,0.0002373416,0.2135724,0.00006097089,0.00001829843,0.00003023746,0.007265839,0.00331292,0.7055429,0.001259003,0.06616799,0.0009803623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855531,0.0000172988,0.0002883879,0.002528439,0.006113017,0.0005631486,0.00001157863,0.0001243771,0.00480059],"genre_scores_gemma":[0.9803513,0.00006232598,0.00001546415,0.005010118,0.000135879,0.0001350069,0.000005824884,0.00002135792,0.01426269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658682,"threshold_uncertainty_score":0.9977884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493728824557105,"score_gpt":0.2767644168198991,"score_spread":0.231827128574328,"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."}}