{"id":"W6918157824","doi":"10.5886/zyj029","title":"Cavity-nesting hymenopterans from nest-trap surveys conducted in 2020 in Montreal, Quebec","year":2023,"lang":"en","type":"dataset","venue":"Canadensys","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Pollinator; Pollination; Scale (ratio); Colonization; Nesting (process); Biodiversity; Urban ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007139913,0.001352213,0.0006791076,0.003690783,0.001429274,0.001145347,0.002263472,0.0006924199,0.01273658],"category_scores_gemma":[0.002123375,0.0005435106,0.0005614766,0.009025775,0.0003705538,0.0004540808,0.000854062,0.0008206216,0.004375109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01231756,"about_ca_system_score_gemma":0.01066005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885173,"about_ca_topic_score_gemma":0.9934787,"domain_scores_codex":[0.9993728,0.00004439674,0.0000445326,0.0001648331,0.0001927122,0.0001806686],"domain_scores_gemma":[0.9974287,0.0001701379,0.0004641197,0.0001862042,0.001369848,0.0003810154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002228252,0.00009821662,0.39493,0.0009780261,0.0004124877,0.0003157861,0.0006524745,0.001874779,0.0009331241,0.0007922849,0.5768377,0.02195222],"study_design_scores_gemma":[0.00009261045,0.00002392684,0.8830736,0.0003240248,0.00008181024,0.0001011811,0.0006007434,0.001466057,0.0003099299,0.0001391542,0.1137339,0.00005302199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02627609,0.0006141199,0.0002397948,0.0001133092,0.00001822163,0.00007217772,0.9701818,0.0001109162,0.002373577],"genre_scores_gemma":[0.0919394,0.0005693112,0.001277793,0.0002719978,0.00002101386,0.0003135751,0.9000626,0.00006297125,0.005481413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01273658,"threshold_uncertainty_score":0.08937055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075343269735807,"score_gpt":0.2708006280721386,"score_spread":0.2400471953747805,"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."}}