{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004554585,0.0006103794,0.0002023892,0.0002186549,0.001471767,0.0009022386,0.000837896,0.0009068244,0.006103747],"category_scores_gemma":[0.0009704895,0.0002259972,0.0004022622,0.0001200011,0.0009892852,0.000642507,0.00127793,0.0005368164,0.0005257294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004164717,"about_ca_system_score_gemma":0.0003849299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004004254,"about_ca_topic_score_gemma":0.01308172,"domain_scores_codex":[0.9996617,0.0001683174,0.00001017346,0.00005712469,0.00005642817,0.00004629193],"domain_scores_gemma":[0.9995907,0.0001660418,0.00002665146,0.00005221488,0.00002288036,0.0001414858],"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":[0.001402046,0.00224394,0.05471788,0.001057356,0.0002779514,0.0218549,0.07951903,0.09774535,0.4733476,0.03040754,0.01427624,0.2231502],"study_design_scores_gemma":[0.0003876268,0.005203513,0.09303033,0.0002759201,0.0004847426,0.0139766,0.03293347,0.3805903,0.1140784,0.009667243,0.3488079,0.0005639218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8414888,0.00008287287,0.1318233,0.0006011191,0.00005262989,0.0003545091,0.0001057688,0.00201028,0.02348063],"genre_scores_gemma":[0.9002567,0.00006874953,0.09054635,0.00007375656,0.00001513309,0.0001785206,0.0001264512,0.000118213,0.008616121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006103747,"threshold_uncertainty_score":0.02041912,"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."}}