{"id":"W7006081020","doi":"","title":"Specimen Digitization at the Canadian National Collection of Insects, Arachnids &amp; Nematodes (CNC)","year":2019,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001388273,0.000918055,0.0008461556,0.009146746,0.004587362,0.00231341,0.00317686,0.0008578362,0.3147573],"category_scores_gemma":[0.003576854,0.0008240886,0.0005628443,0.008712335,0.001206093,0.001672634,0.001972327,0.001190599,0.1364831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007546416,"about_ca_system_score_gemma":0.02226738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8082683,"about_ca_topic_score_gemma":0.9362262,"domain_scores_codex":[0.998754,0.00004004393,0.00007209674,0.0002392803,0.0006776942,0.0002167936],"domain_scores_gemma":[0.996283,0.0001314108,0.0001342183,0.0007251354,0.002428774,0.0002974921],"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":[0.00006294924,0.00001729292,0.00175711,0.0002157922,0.00001097209,0.00005866054,0.0003748184,0.0001494816,0.0024801,0.004057117,0.9211788,0.06963693],"study_design_scores_gemma":[0.00001417886,0.000005352594,0.01142841,0.0001097205,0.00001400259,0.00007147805,0.0002122951,0.0001506163,0.001779282,0.0005906751,0.9855953,0.00002850662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007073604,0.0006314267,0.01304846,0.0007075185,0.0008283326,0.001275957,0.6638671,0.006206153,0.3063615],"genre_scores_gemma":[0.02516861,0.001242106,0.06952093,0.0004995221,0.000166957,0.001621055,0.4769514,0.00737347,0.4174559],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3147573,"threshold_uncertainty_score":0.9774155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947170424014265,"score_gpt":0.2580252245752599,"score_spread":0.2385535203351172,"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."}}