{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001110324,0.0006736132,0.0004539813,0.005825033,0.002737908,0.002560369,0.0008355619,0.0006463967,0.3415847],"category_scores_gemma":[0.004533662,0.0003157152,0.0003027421,0.005075212,0.0007414586,0.0008596743,0.001048385,0.0009034537,0.09824909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007237216,"about_ca_system_score_gemma":0.0249258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8017938,"about_ca_topic_score_gemma":0.8984863,"domain_scores_codex":[0.9987966,0.00005622963,0.00008208035,0.00009343088,0.0008321243,0.0001395816],"domain_scores_gemma":[0.992638,0.0002602154,0.0001196445,0.0003091434,0.005967254,0.000705838],"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":[0.0000165199,0.00001259756,0.0007121707,0.00007187226,0.000001950496,0.00002920351,0.00002205172,0.00003121939,0.0001007445,0.001136882,0.9281442,0.0697206],"study_design_scores_gemma":[0.000003532769,0.000002991864,0.004241592,0.0000508,0.000002617247,0.00005223029,0.00004552884,0.00005387228,0.00008911267,0.0003734574,0.9950781,0.000006101925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002268838,0.006063764,0.001485466,0.008520734,0.006094426,0.0003764929,0.04583812,0.0005937314,0.9287585],"genre_scores_gemma":[0.01205947,0.006309966,0.002123747,0.000953689,0.0006022815,0.00008022237,0.01496673,0.0002537304,0.9626502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8017938,"threshold_uncertainty_score":0.9391494,"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."}}