{"id":"W2111218329","doi":"10.1109/cgames.2011.6000350","title":"Bee prepared: Simulating bee vision in an educational game","year":2011,"lang":"en","type":"article","venue":"","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Appeal; Computer science; Human–computer interaction; Animal behavior; Multimedia; Graphics; Key (lock); Video game; Vision science; Computer graphics; Artificial intelligence; Computer graphics (images)","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":[0.0002843742,0.0007296862,0.0003114215,0.0002492986,0.0002658485,0.0005892849,0.001325969,0.0008313202,0.005199559],"category_scores_gemma":[0.001169264,0.0001909213,0.0004479286,0.00009608464,0.0004138494,0.0005446359,0.0008815515,0.0005827917,0.0003266409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951613,"about_ca_system_score_gemma":0.0003693563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922013,"about_ca_topic_score_gemma":0.003687767,"domain_scores_codex":[0.9998851,0.00003545026,0.000007570967,0.00001937796,0.00003410019,0.00001831186],"domain_scores_gemma":[0.9995006,0.0003176145,0.00002259947,0.00003511723,0.00004058562,0.00008338771],"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":[0.004601191,0.006525208,0.01578221,0.001556641,0.0003154822,0.004275002,0.004784313,0.6013655,0.2158205,0.02060726,0.01512148,0.1092453],"study_design_scores_gemma":[0.0004604741,0.002575747,0.004740908,0.00006096752,0.00006775508,0.000397852,0.0002851399,0.9478654,0.02825911,0.003097942,0.01212488,0.00006381564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273309,0.0001576058,0.1503334,0.0004130372,0.0001882403,0.001272788,0.0009918713,0.002284912,0.01702733],"genre_scores_gemma":[0.8743491,0.0001313804,0.1182221,0.0001562094,0.00001205014,0.0005440782,0.0005097323,0.0001177871,0.00595739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005199559,"threshold_uncertainty_score":0.01739424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0857088377187899,"score_gpt":0.3751912323384178,"score_spread":0.2894823946196279,"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."}}