{"id":"W3208308762","doi":"10.5281/zenodo.5114040","title":"Transit Timing Variations for AU Microscopii b &amp; c","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Rio Tinto (Canada)","funders":"","keywords":"Computer science","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":[0.00008115749,0.0001381243,0.0001504724,0.0008570105,0.0004640889,0.0003288886,0.0001657258,0.0001988876,0.002295231],"category_scores_gemma":[0.0005384955,0.00008413104,0.0001555706,0.0006260719,0.0001029222,0.000200354,0.000263091,0.0002192034,0.0002900635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405492,"about_ca_system_score_gemma":0.0002253263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03785351,"about_ca_topic_score_gemma":0.03497684,"domain_scores_codex":[0.9999193,0.000006699769,0.000005011181,0.00003438914,0.00001637493,0.00001828677],"domain_scores_gemma":[0.9997608,0.00002745975,0.00007563434,0.00003134411,0.00004377547,0.00006092031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004128,0.0001001701,0.914006,0.00005295826,0.00006631175,0.0003649281,0.0005100677,0.00995597,0.02349681,0.001103857,0.005166104,0.04476408],"study_design_scores_gemma":[0.000008271572,0.000079162,0.9732035,0.000005800739,0.00001810171,0.0001480144,0.0001244188,0.02042676,0.001985487,0.0001343263,0.003855665,0.00001068614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953179,0.00003610407,0.0002880047,0.00003036103,0.000004951521,0.000007687989,0.001401697,0.0001253335,0.002787953],"genre_scores_gemma":[0.997481,0.00001236221,0.0004468519,0.000007442274,0.000002838701,0.000004559247,0.001504016,0.00001643532,0.0005245433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03785351,"threshold_uncertainty_score":0.07526636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477251153634636,"score_gpt":0.295161093793131,"score_spread":0.2603885822567847,"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."}}