{"id":"W6931384384","doi":"10.5281/zenodo.8003708","title":"Canis lupus Linnaeus 1758","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Canis; Gray wolf; Population; Dingo; 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":[0.0001116049,0.0005088724,0.0001728173,0.001382543,0.0007697608,0.0002559762,0.0003698926,0.0003179556,0.03251449],"category_scores_gemma":[0.0003048254,0.00004427757,0.00009192979,0.0007297112,0.0002070894,0.0004288567,0.0004581595,0.000196637,0.009886826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005767142,"about_ca_system_score_gemma":0.000384955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03010199,"about_ca_topic_score_gemma":0.07256526,"domain_scores_codex":[0.9998585,0.00001560533,0.000009975719,0.00004193915,0.00004650167,0.00002745368],"domain_scores_gemma":[0.9998571,0.00001241273,0.00004729548,0.000006514006,0.00004471402,0.00003191124],"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":[0.0002392075,0.0003180871,0.2170031,0.0006312283,0.00007313994,0.002716033,0.0009511776,0.0003062557,0.007506892,0.005378194,0.09824172,0.666635],"study_design_scores_gemma":[0.00003690703,0.0002067563,0.2803079,0.0004867083,0.00006546044,0.01327578,0.00137823,0.000216362,0.001084461,0.002980884,0.6999332,0.00002727808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2374487,0.01412618,0.001436197,0.001856335,0.0004502005,0.0003610229,0.008786513,0.0006222909,0.7349126],"genre_scores_gemma":[0.7769809,0.006484145,0.00415466,0.002249849,0.0002160263,0.0002519829,0.008604159,0.0000417794,0.2010166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03251449,"threshold_uncertainty_score":0.1087718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854661254961582,"score_gpt":0.2150032549253347,"score_spread":0.1664566423757189,"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."}}