{"id":"W4392011685","doi":"10.48550/arxiv.2402.11118","title":"Tic-Tac-Toe on Designs","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; Mount Allison University","keywords":"Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008771665,0.0003685467,0.0003043272,0.0002935972,0.00005660176,0.00005587421,0.0004176514,0.0003053774,0.0001876917],"category_scores_gemma":[0.00001792213,0.0004110395,0.0001931987,0.0004872149,0.00008576552,0.00006791367,0.0001860761,0.001029527,0.001087907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499445,"about_ca_system_score_gemma":0.00005427844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001036006,"about_ca_topic_score_gemma":0.00001361314,"domain_scores_codex":[0.9988095,0.00004133087,0.0001388329,0.0005950938,0.00007090599,0.0003442913],"domain_scores_gemma":[0.9992008,0.0001105918,0.00004093592,0.0004723684,0.00005476155,0.0001205908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005881308,0.00005248562,0.0001642428,0.0008380263,0.0005500446,0.0009527382,0.0003830368,0.7643185,0.0004824381,0.2170469,0.0139979,0.001154847],"study_design_scores_gemma":[0.0003835859,0.0001398027,0.0002778187,0.0007011046,0.0003355204,0.000004936808,0.0001837068,0.8628396,0.003934202,0.1251597,0.004841924,0.001198145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833385,0.0009933806,0.01859627,0.00004852623,0.001784289,0.0003648734,0.00007178144,0.001335944,0.09346648],"genre_scores_gemma":[0.9960511,0.0005838834,0.00006660762,0.00006585025,0.0001555849,0.000001821163,0.00001727624,0.00006549828,0.002992371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127127,"threshold_uncertainty_score":0.9998341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08781538606283049,"score_gpt":0.179318147462598,"score_spread":0.09150276139976754,"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."}}