{"id":"W4394238005","doi":"10.6084/m9.figshare.14468196.v3","title":"Tabula Microcebus","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001617167,0.0001752811,0.0001697048,0.00005926237,0.00009047372,0.000335372,0.001751396,0.0001745418,0.1138586],"category_scores_gemma":[0.0001123342,0.0001824951,0.0001017953,0.0003358324,0.000002585193,0.0001027281,0.0008879602,0.0002377196,0.02315351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000250504,"about_ca_system_score_gemma":0.0002040587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001068963,"about_ca_topic_score_gemma":0.00001470381,"domain_scores_codex":[0.9989688,0.00001845731,0.0001506392,0.0004690036,0.000188718,0.0002043681],"domain_scores_gemma":[0.9982106,0.00005570596,0.00009848828,0.001467677,0.00008544573,0.00008205145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[4.283674e-8,0.00002279193,8.845628e-9,0.0001043692,0.000006889336,0.00005994524,0.000002778694,5.970306e-7,0.00001079665,0.000007207138,0.9988796,0.0009049336],"study_design_scores_gemma":[0.00003973914,0.00000345078,0.000006029146,0.0004108623,0.000004801638,0.0000396787,6.700658e-7,0.0001526618,0.0002406243,0.00001409978,0.9988759,0.0002114479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.317286e-8,0.0009300882,0.0000673236,0.00009627928,0.00007844896,0.0001157115,0.9983919,0.0001168295,0.0002033952],"genre_scores_gemma":[2.693359e-7,0.00001473084,0.0006233408,0.0003932915,0.0001452065,0.0002067887,0.9982374,0.000008139046,0.0003708293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09070511,"threshold_uncertainty_score":0.9776071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415077997799225,"score_gpt":0.2502768821812065,"score_spread":0.2261261022032143,"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."}}