{"id":"W2127864862","doi":"10.1177/1059712306076251","title":"Experiencing Belugas: Action Selection for an Interactive Aquarium Exhibit","year":2007,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Human Motion and Animation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Beluga Whale; Action selection; Beluga; Computer science; Context (archaeology); Ethogram; Action (physics); Artificial intelligence; Visitor pattern; Selection (genetic algorithm); Human–computer interaction; Ecology; Geography; Psychology","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":[0.0001451436,0.000117698,0.00008990698,0.0001237907,0.0001156342,0.00003202051,0.00004513903,0.00007422605,0.00008462548],"category_scores_gemma":[0.00001030139,0.0001321868,0.00004831898,0.0001043909,0.0000134286,0.0006232211,0.000005183689,0.0001208188,0.00002653813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468284,"about_ca_system_score_gemma":0.000007618224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003143582,"about_ca_topic_score_gemma":0.0003947793,"domain_scores_codex":[0.9993583,0.00001268338,0.0001748975,0.0001614166,0.00009576992,0.0001969437],"domain_scores_gemma":[0.9997003,0.00002725161,0.00003845872,0.00007031118,0.00009476891,0.00006888625],"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":[0.0001499554,0.0002177287,0.001026864,0.00001935822,0.00002384034,0.000002685682,0.008396041,0.001123658,0.8609623,0.001161721,0.0004459393,0.1264699],"study_design_scores_gemma":[0.001387948,0.001362765,0.1162179,0.00006490941,0.0001192527,0.00004197694,0.02035432,0.07141179,0.7828545,0.0001387654,0.005250616,0.0007953175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224902,0.000006032397,0.2759079,0.000002017119,0.0003011092,0.0002845093,0.000004280638,0.0002880838,0.000715929],"genre_scores_gemma":[0.9964547,0.000001453996,0.002951789,0.00001713951,0.0002176413,0.0001261393,0.00002733127,0.00003224814,0.0001715668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739645,"threshold_uncertainty_score":0.5390419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06666057922278477,"score_gpt":0.3310109092312966,"score_spread":0.2643503300085118,"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."}}