{"id":"W6931433817","doi":"10.5281/zenodo.6227783","title":"Reicheadella smetanai Bulirsch & Guéorguiev, 2008, sp. nov.","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apex (geometry); Holotype; Vertex (graph theory); Bent molecular geometry; Arthropod mouthparts; Margin (machine learning)","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":[0.0002182662,0.001402127,0.0006379201,0.002168854,0.001578721,0.001013931,0.0007557289,0.001014639,0.008527071],"category_scores_gemma":[0.0008407836,0.000411757,0.0005271032,0.0009301862,0.0005612583,0.001709601,0.001093845,0.00089641,0.004597395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006403899,"about_ca_system_score_gemma":0.0009697616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337285,"about_ca_topic_score_gemma":0.02309086,"domain_scores_codex":[0.9998042,0.0000120626,0.00002332527,0.0000681666,0.0000444727,0.0000478322],"domain_scores_gemma":[0.9997869,0.00003140974,0.00005296854,0.00002978719,0.00007091815,0.00002803566],"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":[0.0008502913,0.0002592287,0.05594645,0.003332586,0.0003023679,0.006532165,0.003170782,0.002626483,0.04245456,0.004014074,0.03265324,0.8478578],"study_design_scores_gemma":[0.0003119359,0.0004202895,0.2398801,0.001948279,0.0007740905,0.01231871,0.004720839,0.001432872,0.009542594,0.002381995,0.7261337,0.0001346368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4914541,0.08175638,0.01780339,0.002171087,0.003572353,0.001945533,0.01792972,0.002377306,0.3809902],"genre_scores_gemma":[0.8747647,0.02331589,0.02672472,0.001373356,0.0005514754,0.001337628,0.0129565,0.0001939166,0.0587818],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01337285,"threshold_uncertainty_score":0.02852589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6433665453349371,"score_gpt":0.4359201806714554,"score_spread":0.2074463646634817,"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."}}