{"id":"W2075077643","doi":"10.3791/52033","title":"Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Computer science; Motion (physics); Video recording; Animal behavior; Computer vision; Communication; Real-time computing; Biology; Computer graphics (images); Ecology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003016321,0.0004606573,0.0003382436,0.0007001681,0.0001937138,0.0003629027,0.0007779221,0.0005222313,0.002059028],"category_scores_gemma":[0.00115465,0.0003023894,0.0002446215,0.0002505711,0.0003170581,0.0004064795,0.0005267421,0.000399981,0.0005316987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797375,"about_ca_system_score_gemma":0.0002028707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367268,"about_ca_topic_score_gemma":0.003056866,"domain_scores_codex":[0.9995097,0.00009346086,0.00002326669,0.0001785447,0.0001217695,0.00007326835],"domain_scores_gemma":[0.9991585,0.0003030084,0.0002126543,0.0001249168,0.0001243162,0.00007666162],"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":[0.0003378989,0.0001395445,0.006690185,0.0001587311,0.00002243557,0.00009572066,0.0001584371,0.0005563819,0.8976823,0.0001822741,0.0005838413,0.09339213],"study_design_scores_gemma":[0.0002330929,0.002579363,0.2708207,0.00008687541,0.00009917341,0.0007930775,0.0001974069,0.03935992,0.6723183,0.0006759915,0.01269079,0.0001453494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8330785,0.0005480262,0.1608813,0.0000967058,0.00008392,0.0004833222,0.0009837367,0.001423186,0.002421433],"genre_scores_gemma":[0.7117752,0.0003620015,0.2805712,0.0002253604,0.0001067465,0.001927248,0.0009461786,0.0002295485,0.003856549],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002059028,"threshold_uncertainty_score":0.006888211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415132810456571,"score_gpt":0.337530482964582,"score_spread":0.3033791548600163,"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."}}