{"id":"W6931575545","doi":"10.5281/zenodo.6015974","title":"Sarsia lovenii M. Sars 1846","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whorl (mollusc); Pedicel; Sensu; Tendril; Tentacle (botany)","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":[0.0001535488,0.0008027022,0.0004543044,0.001260671,0.001179687,0.0004748661,0.0005913681,0.0005310433,0.02254867],"category_scores_gemma":[0.0002405197,0.0002804387,0.0002536918,0.0005747426,0.0006111143,0.0006862453,0.0008686525,0.0006062395,0.01502501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044462,"about_ca_system_score_gemma":0.0003005969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003343283,"about_ca_topic_score_gemma":0.008126434,"domain_scores_codex":[0.9998313,0.00002314685,0.00001733493,0.00006012443,0.00004822379,0.00001982845],"domain_scores_gemma":[0.9999031,0.000008749028,0.00004363938,0.00001193906,0.00002260172,0.000009969755],"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":[0.0002111814,0.0001198353,0.01077049,0.0009957942,0.00004667209,0.001734921,0.001682649,0.0004082096,0.008505925,0.006201961,0.1222196,0.8471028],"study_design_scores_gemma":[0.00003444823,0.0001812648,0.05620113,0.0002888163,0.00003431668,0.004568862,0.0004123788,0.0002736508,0.0006877599,0.0005700482,0.9367324,0.00001494408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05549954,0.0245607,0.002144125,0.00109844,0.001515849,0.000387283,0.001783914,0.0009835468,0.9120267],"genre_scores_gemma":[0.7581285,0.02372482,0.008216058,0.001961225,0.002591226,0.0003570309,0.005021895,0.0001715815,0.1998277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02254867,"threshold_uncertainty_score":0.07543284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017143475045375,"score_gpt":0.2624232360331221,"score_spread":0.2222518012826683,"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."}}