{"id":"W7046336203","doi":"","title":"Damned if you don't, damned if you do-ish","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":"Criticism; Politics; State (computer science); Ideology; Officer","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":[0.0005577076,0.0004733092,0.0003077448,0.0008097003,0.003480508,0.005421366,0.0008044622,0.002415926,0.3935148],"category_scores_gemma":[0.002255485,0.0003110111,0.0001978334,0.0008842924,0.001219399,0.001879572,0.00188624,0.002332735,0.2081216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004053229,"about_ca_system_score_gemma":0.007240125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3482239,"about_ca_topic_score_gemma":0.6111617,"domain_scores_codex":[0.9994681,0.00002664672,0.000006703493,0.00003525393,0.0003018791,0.0001613908],"domain_scores_gemma":[0.9985923,0.0000900815,0.00002811315,0.00008013421,0.0005436746,0.0006656497],"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":[0.00001371863,0.000007625675,0.0002033994,0.00001778944,5.497366e-7,0.0000386812,0.00006421944,0.00001529857,0.0000953671,0.001786278,0.9818798,0.01587706],"study_design_scores_gemma":[0.000002310072,0.000002636794,0.0005012075,0.00001504334,6.266197e-7,0.00001333628,0.000128594,0.00002192787,0.00005871533,0.0002579895,0.9989941,0.000003442509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008425465,0.001065583,0.0002533404,0.01647197,0.005136524,0.00003513489,0.001789329,0.0008874864,0.9735181],"genre_scores_gemma":[0.001812836,0.0001893736,0.00007091899,0.001322853,0.00008255614,0.000003714812,0.0003385081,0.00008068804,0.9960985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3935148,"threshold_uncertainty_score":0.8650775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006246598558750071,"score_gpt":0.2006805300225144,"score_spread":0.1944339314637644,"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."}}