{"id":"W2461401400","doi":"10.1242/jeb.112607","title":"Dateless bees wear better perfume","year":2015,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mating; Set (abstract data type); Mate choice; Biology; Ecology; Zoology; Computer science","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":[0.0002244846,0.0004320339,0.0004392509,0.0005228507,0.0009846949,0.00131429,0.000311904,0.0007342474,0.018912],"category_scores_gemma":[0.0006277341,0.000250063,0.0005220835,0.0003692167,0.0006064915,0.0008675122,0.000589948,0.001013518,0.006365681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004218008,"about_ca_system_score_gemma":0.0001157087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482942,"about_ca_topic_score_gemma":0.003535006,"domain_scores_codex":[0.9997891,0.00002084185,0.00001378299,0.00006890026,0.00008070811,0.00002671992],"domain_scores_gemma":[0.9996595,0.00004901011,0.00008333307,0.00007179103,0.00007142145,0.00006500802],"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":[0.0008243121,0.0002078601,0.05891091,0.001003971,0.0001519161,0.001196498,0.002663312,0.0002890198,0.6287733,0.005255937,0.03546678,0.2652563],"study_design_scores_gemma":[0.0000621792,0.0008709813,0.2773895,0.0001445198,0.0001024264,0.002499621,0.002049172,0.000263184,0.04636719,0.001619195,0.6685421,0.00008994003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8035117,0.02428498,0.007361542,0.005163983,0.002892989,0.0001540142,0.002837993,0.001293509,0.1524993],"genre_scores_gemma":[0.8208197,0.00478234,0.01205003,0.008019246,0.0006120859,0.00007730715,0.002406912,0.000428803,0.1508035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018912,"threshold_uncertainty_score":0.06326687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08428301257217961,"score_gpt":0.2758088989984837,"score_spread":0.191525886426304,"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."}}