{"id":"W6892520194","doi":"10.5281/zenodo.10474338","title":"Lasiancistrus wiwa Poveda-Cuellar & Conde-Saldaña & Villa-Navarro & Lujan & Santos 2023, sp.nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Margin (machine learning); Hydrology (agriculture)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003612691,0.002183454,0.0006623609,0.003823056,0.003680754,0.001404653,0.001148018,0.001374936,0.02585714],"category_scores_gemma":[0.001497456,0.0005413402,0.0003954638,0.002526251,0.00175188,0.003297651,0.002181644,0.001867305,0.008424812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078717,"about_ca_system_score_gemma":0.003000107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04328719,"about_ca_topic_score_gemma":0.07248807,"domain_scores_codex":[0.999616,0.00003699609,0.00004904996,0.0001212766,0.0001192319,0.00005731269],"domain_scores_gemma":[0.9996043,0.00006420496,0.0001381348,0.00004465806,0.00009593544,0.00005282248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006750668,0.0001754719,0.03210543,0.002225543,0.0001570273,0.01161596,0.003893887,0.001794814,0.01180212,0.01008033,0.09226055,0.8332138],"study_design_scores_gemma":[0.0002118555,0.0002296372,0.087355,0.003260691,0.0003546201,0.01105055,0.004982631,0.0008787299,0.002785363,0.004056843,0.8847234,0.0001106554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2705213,0.05391918,0.02220374,0.005898487,0.004937756,0.00300196,0.02373435,0.00292403,0.6128592],"genre_scores_gemma":[0.7501889,0.03381565,0.02683384,0.004724456,0.001042622,0.003021036,0.01498623,0.0003470236,0.1650402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04328719,"threshold_uncertainty_score":0.08650076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880853651957517,"score_gpt":0.2928038464759166,"score_spread":0.2639953099563415,"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."}}