{"id":"W6911187816","doi":"10.5281/zenodo.10167261","title":"Thecturota tenuissima Casey","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Netting; Malaise; Table (database); Snag; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001388716,0.001043839,0.0004132822,0.002582686,0.001442055,0.0004366325,0.001174371,0.0005262268,0.05913107],"category_scores_gemma":[0.0004199394,0.0002398949,0.0003454598,0.001843317,0.0006140797,0.001494052,0.0009738837,0.0006519874,0.01558843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009582247,"about_ca_system_score_gemma":0.0004412626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504723,"about_ca_topic_score_gemma":0.05882927,"domain_scores_codex":[0.9998018,0.0000196855,0.00001920382,0.0000752869,0.00005717211,0.00002683505],"domain_scores_gemma":[0.9998612,0.00001673434,0.0000523168,0.00001519713,0.0000340097,0.00002049347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006366603,0.0002763364,0.01897404,0.001026766,0.00006016571,0.004368483,0.001993878,0.0008291667,0.02800123,0.00534904,0.06485375,0.8736305],"study_design_scores_gemma":[0.000117541,0.0003722926,0.1504547,0.0005689872,0.0001326235,0.009343572,0.001954725,0.0008319683,0.00305007,0.002965337,0.8301507,0.00005745499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1809359,0.01309341,0.007590011,0.00139176,0.001572563,0.001614555,0.01529916,0.001238607,0.7772639],"genre_scores_gemma":[0.7858703,0.00512777,0.009009461,0.001358406,0.0003198002,0.000607027,0.01011635,0.0001912631,0.1873997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05913107,"threshold_uncertainty_score":0.1978132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04965068194923599,"score_gpt":0.2283618679063864,"score_spread":0.1787111859571504,"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."}}