{"id":"W6969247470","doi":"10.5281/zenodo.5587113","title":"Rhinopetitia melanohumeralis Menezes & Netto-Ferreira 2019, new species","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tributary; Table (database); Amazon rainforest; Quarter (Canadian coin)","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":[0.0002172395,0.0005585529,0.0003951619,0.00145935,0.00129314,0.0004378047,0.0006154252,0.0004792739,0.008173506],"category_scores_gemma":[0.0004458529,0.0002152985,0.0002527604,0.0005799449,0.000772214,0.001071473,0.000835292,0.0005114558,0.002192949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065918,"about_ca_system_score_gemma":0.000326437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008378124,"about_ca_topic_score_gemma":0.02555075,"domain_scores_codex":[0.9997502,0.00002484183,0.00002901635,0.00009636211,0.00006656336,0.00003304862],"domain_scores_gemma":[0.9999002,0.00001432375,0.00003931335,0.000016101,0.00001950053,0.00001048922],"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":[0.000553862,0.0001575041,0.05396851,0.001435484,0.0001404329,0.004869215,0.005603737,0.00077137,0.02934126,0.007665889,0.01899878,0.8764939],"study_design_scores_gemma":[0.00006808207,0.0003194465,0.4079685,0.001094105,0.0002246812,0.02475623,0.003116643,0.001109766,0.002106435,0.002790818,0.5563703,0.00007505881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4255888,0.03696525,0.01017426,0.001224074,0.0008595188,0.0009307122,0.003430794,0.0008046275,0.5200219],"genre_scores_gemma":[0.963232,0.006844369,0.006390309,0.0004464093,0.0002957595,0.0002053394,0.001125491,0.00005098876,0.02140929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008378124,"threshold_uncertainty_score":0.02734309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759412231405562,"score_gpt":0.2186295389657526,"score_spread":0.201035416651697,"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."}}