{"id":"W4247455869","doi":"10.3752/cjai","title":"Canadian Journal of Arthropod Identification","year":2023,"lang":"en","type":"paratext","venue":"Canadian Journal of Arthropod Identification","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Arthropod; Geography; Biology; Computational biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001178943,0.0003069318,0.0006123856,0.0005513708,0.001330443,0.0004247727,0.0009500239,0.0005297081,0.00432328],"category_scores_gemma":[0.0004698231,0.0001692428,0.0004247076,0.000796289,0.000586836,0.000481461,0.00002491897,0.0007104813,0.004839794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006202087,"about_ca_system_score_gemma":0.002235285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09022496,"about_ca_topic_score_gemma":0.8862188,"domain_scores_codex":[0.9971088,0.0002085278,0.001403228,0.0003029712,0.0003946342,0.0005818651],"domain_scores_gemma":[0.9945819,0.0001324636,0.00234291,0.0001497035,0.001856445,0.0009365671],"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":[0.00001693111,0.00002741277,0.005662541,0.00003248662,0.0002684068,0.0001417654,0.000533279,0.00004997148,0.001090141,0.00008220584,0.9839481,0.008146818],"study_design_scores_gemma":[0.0003188786,0.0004823386,0.2930976,0.0002950386,0.0002898953,0.0002689277,0.003200132,0.000004877825,0.0007258899,0.0008624139,0.6999509,0.0005031283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174053,0.01260442,0.00004301357,0.02270661,0.04081426,0.0007220676,0.002875697,0.0000197241,0.002808892],"genre_scores_gemma":[0.9562597,0.002133416,0.00002737801,0.0001451193,0.002144349,0.000003326988,0.0006575069,0.000007552343,0.03862166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7959938,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218459467230879,"score_gpt":0.2220590323334252,"score_spread":0.1998744376611164,"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."}}