{"id":"W6992157654","doi":"","title":"KINARM, EyeLink & Cerebus - Hardware Setup, Data Flow & Task Environment","year":2012,"lang":"en","type":"other","venue":"JuSER (Forschungszentrum Jülich)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macaque; Population; Visual field; Visual cortex; Perception; Visual perception; N2pc; Stimulus (psychology); Visualization; Motor control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005871086,0.001163621,0.0004685741,0.0005679422,0.0002993385,0.001054133,0.001265544,0.0005996602,0.09478258],"category_scores_gemma":[0.002011194,0.0004561213,0.0002108079,0.0002641071,0.0003902231,0.001106704,0.001266551,0.000674925,0.02859692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004501126,"about_ca_system_score_gemma":0.0006655256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006167561,"about_ca_topic_score_gemma":0.0008590868,"domain_scores_codex":[0.9995166,0.00003993769,0.00004657395,0.0001936872,0.0001478894,0.00005534576],"domain_scores_gemma":[0.999351,0.0001399736,0.00007822047,0.0001583035,0.0001489923,0.0001234936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002793636,0.000250566,0.002271315,0.002147779,0.00008250874,0.0007751172,0.0005419849,0.003683231,0.3028825,0.00777741,0.1059692,0.5708248],"study_design_scores_gemma":[0.0006770752,0.001453562,0.01261402,0.000345843,0.0001917669,0.005174461,0.0001417511,0.07125339,0.4036161,0.008567044,0.4956916,0.000273443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04578366,0.001150228,0.6956426,0.0006703752,0.001071568,0.00232877,0.007202231,0.1456458,0.1005048],"genre_scores_gemma":[0.5985217,0.0006888962,0.2870726,0.001229403,0.0001693407,0.003546218,0.004367426,0.00959113,0.09481335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09478258,"threshold_uncertainty_score":0.3170794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490788319357549,"score_gpt":0.280485477705314,"score_spread":0.2255775945117385,"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."}}