{"id":"W7052937731","doi":"","title":"100 things Flames Fans should know & do before they die!","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Football; Clothing; Ridiculous","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":[0.0002914998,0.0007202197,0.0003030318,0.0006991659,0.002348822,0.00352215,0.0005255385,0.00117898,0.6372868],"category_scores_gemma":[0.001219028,0.0003051441,0.00034991,0.0006832543,0.0005777623,0.003162418,0.001903456,0.001887406,0.4874594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007226263,"about_ca_system_score_gemma":0.0008491004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007209403,"about_ca_topic_score_gemma":0.02872865,"domain_scores_codex":[0.9998302,0.00001456345,0.000003477414,0.00001740243,0.0001016379,0.00003265235],"domain_scores_gemma":[0.9994381,0.00005599819,0.00001800783,0.00004155191,0.0002092628,0.0002371478],"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":[0.00000655316,0.00001155333,0.00005174269,0.00001550094,4.519594e-7,0.00001374964,0.00003160118,0.00001047686,0.00005596346,0.00082497,0.9775424,0.02143507],"study_design_scores_gemma":[0.000001941862,0.000004027221,0.0002357734,0.0000218448,4.725173e-7,0.0000197916,0.0001256604,0.00001925585,0.00004978138,0.0003879858,0.9991305,0.00000286682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004004425,0.0008526937,0.0004185675,0.003280071,0.002798749,0.00002658795,0.0006046366,0.001184332,0.9904339],"genre_scores_gemma":[0.0009210547,0.0003143146,0.000144196,0.0004745607,0.0001709052,0.000008183242,0.0001976117,0.0002764573,0.9974928],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6372868,"threshold_uncertainty_score":0.5173663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009976509887627926,"score_gpt":0.2286273226893654,"score_spread":0.2186508128017375,"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."}}