{"id":"W7064786207","doi":"","title":"Canadian Traveler Problem with Neutralizations","year":2019,"lang":"en","type":"article","venue":"Dspace Repository (Marmara Üniversitesi)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Citation; The arts; Key (lock)","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":[],"category_scores_codex":[0.00006093143,0.0001622131,0.0001445625,0.0001967511,0.0002437332,0.00009723451,0.0002246538,0.00003952926,0.05925956],"category_scores_gemma":[6.074941e-7,0.0001540858,0.00006119967,0.0003306409,0.00003874978,0.00007279806,0.00004856335,0.0001433979,0.0002428661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006238089,"about_ca_system_score_gemma":0.0005583478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1099758,"about_ca_topic_score_gemma":0.01328606,"domain_scores_codex":[0.9988332,0.00005116076,0.0001196804,0.0003111891,0.0002699338,0.0004148299],"domain_scores_gemma":[0.9991125,0.0000277945,0.00006241336,0.0003264531,0.0001428007,0.0003280726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005383438,0.0001218436,0.9114058,0.00004848419,0.000134572,0.00006876062,0.0007383057,0.0003489117,0.009360941,0.005693485,0.06435128,0.00767378],"study_design_scores_gemma":[0.002684883,0.0004066917,0.1147961,0.0001066139,0.0001420614,0.00001854346,0.005263441,0.003258328,0.004424907,0.00004325671,0.8678879,0.0009673596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2900946,0.00001349194,0.0002117702,0.0011809,0.00008033624,0.0005867919,0.0000153936,0.00003302385,0.7077836],"genre_scores_gemma":[0.7628931,0.000001204911,0.0004327315,0.00004922993,0.00006235187,0.00001333553,0.00003503777,0.000016192,0.2364969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8035366,"threshold_uncertainty_score":0.9416004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00264033704563077,"score_gpt":0.1783205892594673,"score_spread":0.1756802522138365,"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."}}