{"id":"W6931695730","doi":"10.5281/zenodo.6059831","title":"Centistes (Ancylocentrus) ater","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Population; Predation; Range (aeronautics)","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":[0.000171009,0.0007101721,0.0002244829,0.002131036,0.0007680802,0.0003383816,0.0003528279,0.0003532234,0.00541293],"category_scores_gemma":[0.0004444918,0.0001472091,0.0001796598,0.0007821244,0.0004870598,0.0006445721,0.0006080826,0.0002206293,0.00179601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527353,"about_ca_system_score_gemma":0.0001873821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004281131,"about_ca_topic_score_gemma":0.009182243,"domain_scores_codex":[0.9997963,0.00002569715,0.00001847556,0.00008496318,0.0000518282,0.00002268654],"domain_scores_gemma":[0.9997042,0.00005601048,0.000149412,0.00003117129,0.00003313664,0.00002602214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002552874,0.0001209193,0.1656675,0.001823078,0.0001660476,0.005214701,0.00250086,0.001536893,0.1693756,0.005419774,0.01465366,0.6309681],"study_design_scores_gemma":[0.00006539594,0.0003490224,0.8268558,0.0003343417,0.0002179659,0.009073373,0.0009295422,0.0007813241,0.008629512,0.0009082814,0.151807,0.00004848047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.848963,0.01115912,0.004420343,0.0002645226,0.0002626241,0.0001705728,0.004080647,0.0005289441,0.1301503],"genre_scores_gemma":[0.9909319,0.0008495768,0.001500234,0.00008121672,0.00005265991,0.00003706919,0.0008414569,0.00001762818,0.005688237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00541293,"threshold_uncertainty_score":0.01810807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287639181515991,"score_gpt":0.324780749240383,"score_spread":0.1960168310887839,"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."}}