{"id":"W6894031920","doi":"10.5281/zenodo.6772744","title":"Lynx pardinus","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; National park; Mediterranean climate; Shrubland; Predation; Coat; Subspecies","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":[0.0003396606,0.0004883645,0.0002848491,0.001002479,0.0008870896,0.0005990418,0.0004040549,0.0003894479,0.06592671],"category_scores_gemma":[0.0003017733,0.0001429815,0.0001929256,0.0005755712,0.0001982458,0.0004757529,0.0008829642,0.0004372364,0.03573631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006209766,"about_ca_system_score_gemma":0.000669673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03928163,"about_ca_topic_score_gemma":0.0753274,"domain_scores_codex":[0.9997887,0.00001710417,0.00001834918,0.00007098485,0.00005352707,0.00005140785],"domain_scores_gemma":[0.9998647,0.0000113862,0.00004043888,0.00001385708,0.00003557051,0.00003408609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005513786,0.0001706946,0.08376899,0.0004629118,0.00004368916,0.002380434,0.001285096,0.0001903485,0.004863445,0.003918061,0.4720296,0.4303352],"study_design_scores_gemma":[0.00004760807,0.00008672461,0.1160244,0.0001292417,0.00002549404,0.001696714,0.0004842508,0.0002147962,0.0004027086,0.0003370872,0.8805372,0.00001386613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1475345,0.0104652,0.001343843,0.003481876,0.00153724,0.0003633704,0.03216402,0.001419694,0.8016902],"genre_scores_gemma":[0.3820953,0.005042261,0.00380479,0.004615677,0.0006014632,0.0004484994,0.05448821,0.0002570289,0.5486467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06592671,"threshold_uncertainty_score":0.2205468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592944210812477,"score_gpt":0.2303968711273283,"score_spread":0.1944674290192035,"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."}}