{"id":"W7060886671","doi":"","title":"Our Goals for 2009","year":2008,"lang":"en","type":"article","venue":"WBI Studies Repository","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Puppy; Legislation; Enforcement; Work (physics); Animal welfare; Authorization; Law enforcement; State (computer science)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008033385,0.0001041233,0.0001815558,0.00003640209,0.0004066039,0.00001263032,0.0001172672,0.00001581721,0.0008996894],"category_scores_gemma":[0.00001530519,0.00008954733,0.00009511322,0.00006563825,0.00004648054,0.000011975,0.0001053962,0.00006539609,0.00003213212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007713465,"about_ca_system_score_gemma":0.0000508212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001363855,"about_ca_topic_score_gemma":0.000003844234,"domain_scores_codex":[0.9991677,0.00002467826,0.0001933597,0.0001984341,0.0001822322,0.0002335428],"domain_scores_gemma":[0.9994293,0.00007316603,0.000055286,0.0002111497,0.0001770653,0.00005401059],"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":[0.00002811747,0.0001386317,0.02722862,0.00003765926,0.0002621045,0.00001464078,0.0006428931,0.000002994556,0.00733922,0.0009554813,0.9261876,0.03716205],"study_design_scores_gemma":[0.00135447,0.0002959439,0.02158696,0.00003301177,0.00005096624,0.000006045659,0.007883635,0.0001340576,0.0154792,0.0002552943,0.9525663,0.0003541138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3454176,0.003034551,0.0007003157,0.003189835,0.001290229,0.001397022,0.00003355134,0.0000941612,0.6448428],"genre_scores_gemma":[0.8166357,0.00003884884,0.0004892692,0.00005125914,0.0008097029,0.0002846255,0.000004804852,0.00001037333,0.1816754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4712182,"threshold_uncertainty_score":0.9850969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905516412581631,"score_gpt":0.3325239209882996,"score_spread":0.2834687568624833,"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."}}