{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000499836,0.0001037774,0.0000959772,0.000120334,0.003451597,0.003102706,0.002988623,0.00004673955,0.0008598683],"category_scores_gemma":[0.0001852037,0.0001085801,0.00004782639,0.0001333885,0.00009268392,0.0009748474,0.002031072,0.000175117,0.00914924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006932067,"about_ca_system_score_gemma":0.000003091216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001955575,"about_ca_topic_score_gemma":5.082118e-7,"domain_scores_codex":[0.9988441,0.0000981686,0.0001756839,0.0003050499,0.0002971911,0.0002797479],"domain_scores_gemma":[0.9983405,0.000007573258,0.0001626657,0.0010988,0.0002758671,0.000114556],"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":[0.0000237919,0.0001756452,0.00004735932,0.0000614702,0.00004790002,0.00003660335,0.00180807,0.0000671264,0.004776987,0.1060987,0.1237953,0.763061],"study_design_scores_gemma":[0.0003477402,0.0001015271,0.003480062,0.00002074625,0.000003752561,0.00008534594,0.00001865888,0.03120212,0.0004688958,0.001485576,0.9626092,0.0001763312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05828424,0.00004846281,0.5275742,0.007178499,0.0007241098,0.0005814083,0.0001875675,0.001547761,0.4038738],"genre_scores_gemma":[0.9942497,0.00003973574,0.003630168,0.0002801858,0.0001500775,1.348297e-8,0.0003770086,0.0004595778,0.0008135158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9359655,"threshold_uncertainty_score":0.9979322,"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."}}