{"id":"W7052645181","doi":"","title":"Seboeis Railroad Station","year":2024,"lang":"en","type":"article","venue":"DigitalCommons (California Polytechnic State University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Sepia; Rail transportation; Train; Work (physics)","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":[0.00009438779,0.0004105696,0.0001564655,0.0009879228,0.005389343,0.001446767,0.0002926532,0.0006020003,0.2115041],"category_scores_gemma":[0.000199388,0.0002332388,0.0001535139,0.001257751,0.0004291919,0.0005113998,0.0007735187,0.001284594,0.05259895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005290515,"about_ca_system_score_gemma":0.008991172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7648932,"about_ca_topic_score_gemma":0.9430352,"domain_scores_codex":[0.9998097,0.000005009093,0.000002634122,0.00002955662,0.0000836402,0.0000695241],"domain_scores_gemma":[0.9998891,0.000002547179,0.00000294431,0.000004715154,0.00008013917,0.00002055312],"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":[0.0001113218,0.00004081491,0.005655355,0.0001438554,0.00000738219,0.0005592219,0.001308458,0.0001601329,0.001884893,0.01929052,0.8664515,0.1043866],"study_design_scores_gemma":[0.00000335637,0.000005840063,0.005174284,0.00004638361,0.00000154961,0.00004691619,0.0006758631,0.00002195255,0.0001544463,0.0001166835,0.9937493,0.000003574589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0102474,0.0009815887,0.0002789535,0.001308669,0.0005768613,0.00005711145,0.003417295,0.0002623311,0.9828698],"genre_scores_gemma":[0.02040556,0.0007359778,0.000457456,0.0001368904,0.00001911117,0.0000125772,0.001390624,0.0000621677,0.9767798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7648932,"threshold_uncertainty_score":0.7075517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263437503894861,"score_gpt":0.2320164373160579,"score_spread":0.2193820622771093,"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."}}