{"id":"W7033967286","doi":"","title":"Specimen Digitization at the Canadian National Collection of Insects, Arachnids & Nematodes (CNC)","year":2019,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Islamic Finance and Communication","field":"Social Sciences","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":[],"consensus_categories":[],"category_scores_codex":[0.002009748,0.0009524254,0.0008050638,0.01324657,0.00621506,0.002465925,0.003339486,0.001010623,0.1895804],"category_scores_gemma":[0.00510769,0.0007766208,0.0006442702,0.01221995,0.00166948,0.001511841,0.002180898,0.001391726,0.06663283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01237104,"about_ca_system_score_gemma":0.0459857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9010907,"about_ca_topic_score_gemma":0.9673852,"domain_scores_codex":[0.9978544,0.00007380267,0.000127111,0.0003540029,0.001214018,0.0003766049],"domain_scores_gemma":[0.9935923,0.0001864955,0.0002546491,0.001114714,0.004409312,0.0004424301],"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":[0.00009228951,0.00002676026,0.00431162,0.000321852,0.00001913128,0.0001327881,0.0008612167,0.0002455254,0.003773346,0.008035862,0.8856153,0.09656414],"study_design_scores_gemma":[0.00001413497,0.000006964849,0.01911613,0.0001239914,0.00001954919,0.0000946912,0.0003734264,0.0001519918,0.001729434,0.0005844801,0.9777542,0.00003093209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01368963,0.001054836,0.01545169,0.001200932,0.001353089,0.002765707,0.6515644,0.004152701,0.308767],"genre_scores_gemma":[0.04183624,0.002053052,0.09063907,0.0007545178,0.0002650214,0.003217956,0.4255514,0.003917843,0.4317648],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1895804,"threshold_uncertainty_score":0.6342096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173918026931322,"score_gpt":0.2793426300852044,"score_spread":0.2576034498158912,"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."}}