{"id":"W7055687158","doi":"","title":"Dallas Boston Fly High in Round 2","year":2020,"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":"Lightning (connector); Staring; Swift; Government (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.0005589968,0.001067782,0.0004805617,0.0008064129,0.004507618,0.004409536,0.0009031309,0.002073985,0.8012],"category_scores_gemma":[0.001244106,0.0004521553,0.0004510586,0.0004674733,0.0003437706,0.001488016,0.002685928,0.00274919,0.5924271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791968,"about_ca_system_score_gemma":0.001488518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02703117,"about_ca_topic_score_gemma":0.1389367,"domain_scores_codex":[0.9995726,0.00003038921,0.000008606173,0.00007311571,0.0001432762,0.0001721001],"domain_scores_gemma":[0.99918,0.00003020099,0.00001720526,0.00006006155,0.0001841715,0.0005284459],"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":[0.00002599048,0.0000119899,0.00007342311,0.000007524623,5.749876e-7,0.00003105588,0.00001381958,0.00000826148,0.00005434786,0.0005648123,0.9943894,0.004818785],"study_design_scores_gemma":[0.000005903885,0.000007774585,0.0004262013,0.000009475535,5.098515e-7,0.000009272636,0.00005921244,0.0000150236,0.00003841209,0.0001327763,0.9992926,0.000002842923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001078848,0.0002969932,0.0002998582,0.004419564,0.005331068,0.0001223523,0.005491821,0.001438514,0.9815211],"genre_scores_gemma":[0.001788814,0.0000690798,0.00008532332,0.0007493887,0.0002306704,0.00002979044,0.001100873,0.0002609917,0.9956851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1988,"threshold_uncertainty_score":0.2835642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005526865742316959,"score_gpt":0.1922586845030118,"score_spread":0.1867318187606949,"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."}}