{"id":"W6931654374","doi":"10.5281/zenodo.6537013","title":"Microphorella breviradia","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Seta; Group (periodic table); Wing; Nearctic ecozone; Species group; Extant taxon","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008806326,0.0003511645,0.0002184936,0.001088103,0.0007103704,0.0003710399,0.0004634707,0.0003842875,0.005229678],"category_scores_gemma":[0.0002454886,0.0001838843,0.000180762,0.00040055,0.0002330296,0.0007275971,0.0008783935,0.0003796615,0.00164528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000302952,"about_ca_system_score_gemma":0.0001125356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388804,"about_ca_topic_score_gemma":0.003032295,"domain_scores_codex":[0.9999101,0.000008693372,0.000008533304,0.00003352187,0.00002368697,0.00001534807],"domain_scores_gemma":[0.9998952,0.00001600369,0.00003983879,0.00001454566,0.00001808214,0.00001625095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009172889,0.0001306477,0.04643692,0.001423658,0.00009055017,0.002330074,0.003048817,0.001179443,0.6861577,0.003060427,0.003431909,0.2517925],"study_design_scores_gemma":[0.0001738338,0.001768491,0.6629596,0.000657729,0.0001883545,0.0132396,0.004498112,0.002161219,0.04857173,0.002170382,0.2635106,0.0001004221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285459,0.007216603,0.002630262,0.0003695719,0.0001088505,0.00010449,0.00128263,0.0004197923,0.05932187],"genre_scores_gemma":[0.9893071,0.0007907564,0.00188019,0.0001258232,0.00001945664,0.00003907309,0.0005660215,0.000008537444,0.007263014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005229678,"threshold_uncertainty_score":0.01749504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590103329338433,"score_gpt":0.2332677618020259,"score_spread":0.2073667285086416,"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."}}