{"id":"W7045661768","doi":"","title":"Changes - 160329 - Problems With the TPP","year":2016,"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":"General partnership; Government (linguistics); Context (archaeology); State (computer science); Relation (database)","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":[0.006908374,0.0005794267,0.0006172292,0.001146476,0.00761141,0.01054918,0.002352917,0.00765933,0.3546325],"category_scores_gemma":[0.0328319,0.0005473731,0.0007467868,0.001627047,0.002305183,0.004425362,0.00352713,0.009060682,0.220635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008127637,"about_ca_system_score_gemma":0.01969475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2364763,"about_ca_topic_score_gemma":0.3175804,"domain_scores_codex":[0.9934773,0.0005763136,0.0002153223,0.0004787633,0.004186061,0.001066107],"domain_scores_gemma":[0.9865329,0.002384442,0.0002022208,0.001384627,0.007657333,0.001838345],"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":[0.00001755847,0.00001378441,0.00008970928,0.00001867962,0.000001705417,0.00004580867,0.00007552932,0.00003719618,0.000086741,0.01120821,0.9773197,0.01108537],"study_design_scores_gemma":[0.000005315017,0.000004095599,0.0002399951,0.00001716959,0.000001375472,0.00001821091,0.00009429974,0.00003761462,0.0001030648,0.001381494,0.998091,0.000006275534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007495483,0.0005185455,0.00108172,0.08736526,0.01014856,0.00009512925,0.00244916,0.001933735,0.8956584],"genre_scores_gemma":[0.004790526,0.000228473,0.0004733712,0.02112104,0.0005717513,0.00004224464,0.0007050877,0.00114313,0.9709244],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3546325,"threshold_uncertainty_score":0.9205384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005573415048924626,"score_gpt":0.1892003184635294,"score_spread":0.1836269034146048,"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."}}