{"id":"W6950658862","doi":"10.5281/zenodo.6585138","title":"Canis lupus Linnaeus 1758","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Canis; Gray wolf; Dingo; Population; Gray (unit)","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":[0.0001085257,0.0004983437,0.0001688433,0.001373806,0.000750077,0.000249156,0.0003534752,0.0003050042,0.02916552],"category_scores_gemma":[0.0002913909,0.00004458441,0.00008997297,0.0007267794,0.0002054924,0.0004185764,0.0004322722,0.0001892762,0.008739401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005490222,"about_ca_system_score_gemma":0.0003787363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03073928,"about_ca_topic_score_gemma":0.07408646,"domain_scores_codex":[0.9998637,0.00001469391,0.000009973803,0.00004076254,0.00004485976,0.00002592461],"domain_scores_gemma":[0.9998608,0.00001201016,0.00004689686,0.000006234009,0.00004334968,0.00003071216],"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":[0.000233754,0.0003022625,0.2310143,0.0006072462,0.00007333067,0.00269911,0.0009526863,0.0002993671,0.007770414,0.005163587,0.09417921,0.6567048],"study_design_scores_gemma":[0.00003701588,0.0002110163,0.3113402,0.0004671846,0.00006655821,0.01407889,0.001452393,0.0002125798,0.001102584,0.002802422,0.668202,0.0000270776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2592058,0.01515359,0.001396179,0.001844198,0.0004588379,0.0003554119,0.008798203,0.0006113748,0.7121763],"genre_scores_gemma":[0.7955757,0.006643917,0.004076063,0.002102306,0.0002141846,0.0002317067,0.00832816,0.00003893782,0.182789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03073928,"threshold_uncertainty_score":0.09756845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911519649529906,"score_gpt":0.218177627643753,"score_spread":0.199062431148454,"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."}}