{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003085443,0.0002130636,0.0002948886,0.0003044249,0.0006652903,0.0001106308,0.001199392,0.0004887067,0.2507096],"category_scores_gemma":[0.001443744,0.0002165472,0.0001295825,0.0004608761,0.0004208562,0.000143482,0.0004154708,0.0003290166,0.3246173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549699,"about_ca_system_score_gemma":0.001933592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3193006,"about_ca_topic_score_gemma":0.8391038,"domain_scores_codex":[0.9970665,0.0007240542,0.0003826375,0.0007742057,0.000731766,0.000320861],"domain_scores_gemma":[0.9968346,0.0002832137,0.0005426231,0.001992324,0.0002654577,0.00008182077],"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":[0.00002310931,0.00008928674,0.007033017,0.0000704883,0.0001098309,6.05562e-7,0.005944992,0.0001915207,0.0001093776,0.05738954,0.9257917,0.00324654],"study_design_scores_gemma":[0.00015856,4.689781e-7,0.004889196,0.0001301895,0.00002631967,0.000002260772,0.0001527089,0.00003218406,0.0001438802,0.00389016,0.990357,0.0002170728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001390849,0.000009921232,0.0001093743,0.0008183511,0.0003500816,0.00116697,0.0000449871,0.00008291537,0.9960266],"genre_scores_gemma":[0.05961261,0.0006175342,0.0001645283,0.000112605,0.0001504054,0.0001281617,0.0001552187,0.00009287335,0.938966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5198031,"threshold_uncertainty_score":0.883054,"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."}}