{"id":"W6950476131","doi":"10.5281/zenodo.6148356","title":"Corisella Lundblad 1928","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Genus; Population; West virginia; Taxonomy (biology)","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":[0.0001915986,0.001490426,0.0005791716,0.002187878,0.002720617,0.0006357857,0.0009644824,0.001037374,0.01323498],"category_scores_gemma":[0.0007300465,0.0002922113,0.0002592675,0.00155985,0.0008196146,0.001256476,0.001126063,0.0006770852,0.004395063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662966,"about_ca_system_score_gemma":0.001490912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04229958,"about_ca_topic_score_gemma":0.05969967,"domain_scores_codex":[0.9997115,0.00002006023,0.00002423356,0.00008601973,0.00009731521,0.00006093944],"domain_scores_gemma":[0.9996672,0.00004233502,0.0001137761,0.00002809426,0.000113075,0.00003552927],"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":[0.0009340929,0.0001813307,0.02917625,0.002040079,0.00007642169,0.003782131,0.001652751,0.00140124,0.02875273,0.004954146,0.05409158,0.8729573],"study_design_scores_gemma":[0.0002492267,0.0002328969,0.1142158,0.001560051,0.00008862904,0.005976473,0.001553624,0.0006099035,0.00303964,0.00144045,0.8709729,0.00006049708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3301811,0.0833173,0.006241485,0.002451433,0.003667347,0.001117189,0.005445756,0.001360329,0.5662181],"genre_scores_gemma":[0.8941373,0.01770879,0.005632373,0.001132957,0.0005772209,0.0003887968,0.00318898,0.00009858835,0.07713511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04229958,"threshold_uncertainty_score":0.08410674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04629832730629255,"score_gpt":0.2879215136849797,"score_spread":0.2416231863786872,"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."}}