{"id":"W7049173493","doi":"","title":"Monsieur from quebec. Very good bet to win his fourth Marathon","year":2019,"lang":"en","type":"article","venue":"The Library of Electronic Cyprus Thematic Organized Collections (LYKYTHOS) (University of Cyprus)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Data collection; Clothing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001035249,0.001174078,0.0008910384,0.001854898,0.01284974,0.006628457,0.001054971,0.002822571,0.5005639],"category_scores_gemma":[0.001999011,0.0005359683,0.0007478993,0.001153032,0.001191716,0.001361392,0.00235621,0.003008479,0.2222506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01252369,"about_ca_system_score_gemma":0.01202983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6451343,"about_ca_topic_score_gemma":0.9119641,"domain_scores_codex":[0.9988009,0.00009408976,0.00001936323,0.0001388759,0.0004939669,0.0004527322],"domain_scores_gemma":[0.9973288,0.00006545107,0.00003253353,0.00006985941,0.001253224,0.001250158],"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":[0.00002226462,0.00001573248,0.0003649776,0.00001217541,0.000002566119,0.00008396196,0.00006416783,0.00002693727,0.00006319898,0.0009551129,0.9841778,0.01421107],"study_design_scores_gemma":[0.000004252316,0.000008707198,0.0009703684,0.00002791373,0.000001484522,0.0000485642,0.0002208428,0.00001922202,0.00004259364,0.0001537608,0.9984953,0.00000705162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002961085,0.008540707,0.0004748508,0.06373907,0.03116988,0.0001648887,0.003868218,0.0007705767,0.8883108],"genre_scores_gemma":[0.001795123,0.0002864583,0.00007729717,0.001331419,0.0001778424,0.000005790386,0.0001693237,0.0000757134,0.9960809],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5005639,"threshold_uncertainty_score":0.7139111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003528618903298256,"score_gpt":0.1714875509652515,"score_spread":0.1679589320619533,"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."}}