{"id":"W3036242526","doi":"10.1177/1059712320924744","title":"Dual exploration strategies using artificial spiking neural networks in a robotic learning task","year":2020,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep du Vieux Montréal; University of Ottawa","funders":"","keywords":"Thigmotaxis; Context (archaeology); Artificial intelligence; Computer science; Task (project management); Robot; Artificial neural network; Spiking neural network; Psychology; Engineering","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":[0.00007831092,0.0001610652,0.0001647437,0.00007141197,0.0001884783,0.0001702365,0.00008441468,0.00006595105,0.00001659957],"category_scores_gemma":[0.000101893,0.0001645557,0.00005397425,0.0004445004,0.00006189166,0.0008746603,0.00006338564,0.0004258575,0.000008994407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005395786,"about_ca_system_score_gemma":0.00003026484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006507177,"about_ca_topic_score_gemma":0.0000644334,"domain_scores_codex":[0.9986401,0.0001752705,0.0002615939,0.00042754,0.0002036129,0.0002919197],"domain_scores_gemma":[0.9996323,0.00007650007,0.0001174334,0.00007347319,0.00002685134,0.00007344378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006333372,0.00003820006,0.0006468736,0.000001966028,6.538843e-7,0.0001256687,0.0002730722,0.5610834,0.4319328,0.00216864,0.000001269287,0.003664088],"study_design_scores_gemma":[0.0001669416,0.0003028895,0.00344233,0.00001238158,0.00002229474,0.00001336872,0.0009880522,0.9914547,0.003248294,0.0001552472,0.000006071954,0.0001874202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393372,0.000009235311,0.05966901,0.0002092313,0.0003434425,0.0002904874,0.000001708356,0.00008913584,0.00005052815],"genre_scores_gemma":[0.9992943,0.000002679936,0.0001680123,0.0002433385,0.0002253818,0.00002497566,0.000006313371,0.00002477143,0.00001022247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4303713,"threshold_uncertainty_score":0.6710387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529911769761095,"score_gpt":0.302366091239206,"score_spread":0.1493749142630965,"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."}}