{"id":"W7110681427","doi":"","title":"Specimen Digitization at the Canadian National Collection of Insects, Arachnids & Nematodes (CNC)","year":2019,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Dingo; Prospection; Data collection","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001559707,0.0009033121,0.0009058201,0.008780428,0.005631576,0.002229231,0.003171288,0.001074109,0.2880422],"category_scores_gemma":[0.004156791,0.0007489113,0.0005655297,0.008871682,0.001575319,0.001712351,0.002744488,0.001418009,0.1202993],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007390904,"about_ca_system_score_gemma":0.02820636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7860922,"about_ca_topic_score_gemma":0.9350135,"domain_scores_codex":[0.9982918,0.00006262939,0.00009350353,0.0003373898,0.000941445,0.0002731804],"domain_scores_gemma":[0.995823,0.0001597936,0.000160855,0.0009075215,0.002571374,0.0003773706],"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":[0.00008195639,0.00001534389,0.001778839,0.0003108758,0.00001416544,0.00008158536,0.0005852477,0.0001346491,0.002853875,0.004492073,0.9373973,0.05225406],"study_design_scores_gemma":[0.00001267048,0.000005521819,0.009415628,0.0001485439,0.00001294848,0.00007954177,0.0002885746,0.00007497155,0.001009689,0.0006818076,0.988243,0.00002702046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005899086,0.0007389803,0.00943991,0.000875521,0.001106049,0.001497582,0.7333922,0.0041074,0.2429432],"genre_scores_gemma":[0.02570299,0.001241919,0.05475964,0.0007975496,0.0002297157,0.002248892,0.6311975,0.006517461,0.2773043],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9977708,"threshold_uncertainty_score":0.9635973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598738904284125,"score_gpt":0.2489577227055667,"score_spread":0.2329703336627254,"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."}}