{"id":"W7056890277","doi":"","title":"The Grizzlies Migrate to Memphis: From Vancouver Failure to Southern Success","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Work (physics); Margin (machine learning); Agency (philosophy)","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":[],"consensus_categories":[],"category_scores_codex":[0.000965748,0.0002469488,0.0003049219,0.0009667777,0.02435339,0.00549812,0.001058703,0.00134356,0.01304455],"category_scores_gemma":[0.003434954,0.0003486395,0.0001012523,0.002066953,0.005225405,0.00143082,0.005357428,0.004677962,0.0008894556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01653458,"about_ca_system_score_gemma":0.03106194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9339879,"about_ca_topic_score_gemma":0.9870194,"domain_scores_codex":[0.999034,0.0001179955,0.00001282314,0.00006526959,0.0001566968,0.0006131736],"domain_scores_gemma":[0.9971989,0.0001834288,0.0001955935,0.00005967166,0.000697809,0.001664623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002701692,0.0001824284,0.2761702,0.0001452012,0.00005246602,0.003661771,0.5359214,0.0001412591,0.0006001916,0.0115047,0.1003241,0.07102611],"study_design_scores_gemma":[0.000005971031,0.000025876,0.1504826,0.0001742895,0.0000094897,0.0001846862,0.7872609,0.00003933577,0.00006498275,0.0007579613,0.0609668,0.00002707652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.91018,0.0008820714,0.00008366517,0.02222904,0.0002039024,0.00003046575,0.0002818521,0.0000149644,0.06609406],"genre_scores_gemma":[0.9757143,0.0008208148,0.00006260431,0.002281696,0.00002618244,0.00001978808,0.0001403702,0.00002587615,0.02090839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9339879,"threshold_uncertainty_score":0.1328017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263169965084456,"score_gpt":0.2273322713136725,"score_spread":0.214700571662828,"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."}}