{"id":"W6948033236","doi":"10.3897/bdj.8.e49450.figure10","title":"Figure 10 from: Favret C, Moisan-De Serres J, Larrivée M, Lessard J-P (2020) The Odonata of Quebec: Specimen data from seven collections. Biodiversity Data Journal 8: e49450. https://doi.org/10.3897/BDJ.8.e49450","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odonata; Biodiversity; Assemblage (archaeology); Taxon; Single specimen","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003662647,0.0008450976,0.0004324445,0.002233657,0.001446336,0.001810748,0.0008770788,0.0006416609,0.800411],"category_scores_gemma":[0.001691805,0.0003718107,0.0005606033,0.003550219,0.0005608819,0.0009346682,0.001003408,0.001044816,0.5256847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002969976,"about_ca_system_score_gemma":0.004613115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6046761,"about_ca_topic_score_gemma":0.8508747,"domain_scores_codex":[0.9997354,0.00001208286,0.000007582926,0.00002862978,0.0001421439,0.00007411412],"domain_scores_gemma":[0.9986001,0.00007305467,0.00005081026,0.00008445686,0.0008662349,0.0003253161],"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":[0.00001440935,0.000006647223,0.0005172878,0.00006669031,0.000001889824,0.00001835063,0.00002484453,0.00003395991,0.00006137029,0.0001467816,0.9858786,0.01322934],"study_design_scores_gemma":[0.00002155106,0.000006000262,0.01200288,0.0001407559,0.000003770416,0.00003365385,0.00008880546,0.00006654857,0.00008951973,0.0001428294,0.9873954,0.000008320614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001942064,0.0008637133,0.001084752,0.001555347,0.001646329,0.0002339413,0.4135721,0.003883181,0.5752187],"genre_scores_gemma":[0.01031769,0.0008296726,0.002064623,0.0004430088,0.0001618217,0.0001015333,0.1623369,0.001563885,0.8221809],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.800411,"threshold_uncertainty_score":0.7953041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701556432199258,"score_gpt":0.2604598186529852,"score_spread":0.1903041754330594,"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."}}