{"id":"W7064181250","doi":"","title":"Beauties and the Beast - \"Peoplekind\", provincial tensions, stock market turmoil and more","year":2018,"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":"Stock market; Stock (firearms); Stock exchange","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":[0.00138968,0.0003189204,0.00029297,0.0007371085,0.006614691,0.009694238,0.0005846911,0.002404134,0.1909642],"category_scores_gemma":[0.005434319,0.0002601073,0.0001958197,0.001973807,0.002649786,0.004992847,0.001530116,0.003172297,0.03312169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006888105,"about_ca_system_score_gemma":0.005985329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2399246,"about_ca_topic_score_gemma":0.4809366,"domain_scores_codex":[0.9991272,0.0001147876,0.00001481929,0.00005566349,0.000465787,0.0002217789],"domain_scores_gemma":[0.9979048,0.0003250862,0.00009752883,0.0001212882,0.0007084228,0.0008428666],"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":[0.000005729608,0.000003363569,0.0001834381,0.000008597437,4.698549e-7,0.00002299918,0.0003611631,0.000008945651,0.00002969043,0.00891276,0.9833994,0.007063479],"study_design_scores_gemma":[0.000001803046,0.000001503315,0.0005853266,0.00002552381,5.611637e-7,0.00001658172,0.001518788,0.00001356876,0.00003940028,0.001172635,0.9966176,0.000006646705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003986464,0.007843602,0.0002994252,0.3024043,0.01210898,0.00001516426,0.0008873098,0.0003627751,0.672092],"genre_scores_gemma":[0.03831324,0.004865651,0.0002223139,0.0210239,0.002483841,0.00001302947,0.0002639819,0.0005231784,0.9322908],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8090358,"threshold_uncertainty_score":0.638839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004359596849221498,"score_gpt":0.1901120929504098,"score_spread":0.1857524961011883,"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."}}