{"id":"W6930633147","doi":"10.5281/zenodo.13772905","title":"Squamata","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Malaria Research and Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cooke Aquaculture (Canada)","funders":"","keywords":"Burrow; Predation; Wildlife; Squamata","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":[0.0001771989,0.000683252,0.0002786838,0.0009093193,0.001541551,0.000491552,0.0002969279,0.0003427526,0.03068676],"category_scores_gemma":[0.0004505593,0.0001403358,0.000309333,0.0004160455,0.0003570896,0.0007239642,0.0008931014,0.0003400665,0.006344958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002940174,"about_ca_system_score_gemma":0.0001562005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428315,"about_ca_topic_score_gemma":0.009809802,"domain_scores_codex":[0.9998969,0.00001680513,0.00001005843,0.00004072228,0.00002039242,0.00001521664],"domain_scores_gemma":[0.9998642,0.00001915354,0.00004777904,0.00001747712,0.00002872943,0.0000225712],"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":[0.001018008,0.0002735215,0.2860614,0.002065256,0.0003342829,0.008450255,0.007656184,0.0008917237,0.0600643,0.0194549,0.02351904,0.5902111],"study_design_scores_gemma":[0.00005843311,0.001006342,0.4426422,0.0006306101,0.0002232774,0.02271458,0.004056106,0.0008393145,0.003326565,0.004129098,0.5203036,0.00006985828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6883453,0.008464579,0.004253817,0.0009731866,0.000639818,0.0003115787,0.003870082,0.0009401194,0.2922015],"genre_scores_gemma":[0.9522997,0.001692253,0.004312542,0.001050386,0.0001383895,0.0001103087,0.002556928,0.00004664282,0.03779277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03068676,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072841649954158,"score_gpt":0.2713102561284067,"score_spread":0.2405818396288651,"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."}}