{"id":"W2116651869","doi":"10.4039/n11-006","title":"Nesting biology and DNA barcode analysis of <i>Ceratina dupla</i> and <i>C. mikmaqi</i>, and comparisons with <i>C. calcarata</i> (Hymenoptera: Apidae: Xylocopinae)","year":2011,"lang":"en","type":"article","venue":"The Canadian Entomologist","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Brock University","funders":"","keywords":"Biology; Hymenoptera; Botany; Subgenus; Taxonomy (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001824713,0.0001700457,0.0003532087,0.00003840763,0.0005390675,0.00004622906,0.0001488466,0.00007414815,0.00002835071],"category_scores_gemma":[0.00002590869,0.00006090282,0.00002937834,0.0003781564,0.0008091123,0.00004766461,0.00008034541,0.000106317,8.96748e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001582896,"about_ca_system_score_gemma":0.00001632765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2591037,"about_ca_topic_score_gemma":0.8858296,"domain_scores_codex":[0.9990534,0.00008461484,0.0001769202,0.0002844563,0.00006560642,0.0003349656],"domain_scores_gemma":[0.9994248,0.0001941261,0.00009835429,0.0000436588,0.00004277401,0.000196339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007151879,0.00002606654,0.9770716,0.00001297235,0.000319319,0.00003351534,0.0007123025,0.000001623072,0.01254775,0.003842457,0.0004310831,0.004929758],"study_design_scores_gemma":[0.0001513663,0.0003599199,0.9955097,0.00001689777,0.0002980321,0.00004906298,0.0005644692,0.0001085769,0.0005465071,0.000174371,0.002013875,0.0002072609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943456,0.001322637,0.000003581423,0.0009215596,0.00001238203,0.0001439619,0.0002077205,0.0000170431,0.003025495],"genre_scores_gemma":[0.9991389,0.0001769735,0.0001189607,0.000442383,0.0000269822,0.00001053517,0.00002876031,0.000001050689,0.000055486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6267259,"threshold_uncertainty_score":0.74583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05964358343397479,"score_gpt":0.2244745626526544,"score_spread":0.1648309792186796,"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."}}