{"id":"W6992630466","doi":"","title":"Mexican Witness: Bittersweet Harvest","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Event (particle physics); Immigration; Quarter (Canadian coin); Latin Americans","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":[0.001550468,0.0003434404,0.0003739528,0.0005595949,0.004043712,0.001875352,0.0006600954,0.002568873,0.1125441],"category_scores_gemma":[0.006865329,0.0002433006,0.0003249934,0.0006473101,0.0007860283,0.001725193,0.002223853,0.004231917,0.01418337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000794891,"about_ca_system_score_gemma":0.001615312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0130732,"about_ca_topic_score_gemma":0.03007157,"domain_scores_codex":[0.9995936,0.0001304071,0.00001680896,0.00004697016,0.00009582845,0.0001164707],"domain_scores_gemma":[0.9988428,0.0002976084,0.0001171328,0.00007839288,0.0002865199,0.0003775169],"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":[0.00003526238,0.00002203614,0.0007579224,0.00004168518,0.000005481166,0.0002129073,0.0001954525,0.000005411757,0.0000212767,0.001116579,0.9825402,0.01504562],"study_design_scores_gemma":[0.00003778663,0.00005527147,0.005324911,0.000666411,0.0000235984,0.0008169315,0.003871267,0.00004570151,0.0001147465,0.001744512,0.98728,0.00001877967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01344255,0.02285364,0.0008624025,0.6609417,0.02393622,0.0001305455,0.003560507,0.0005043523,0.2737681],"genre_scores_gemma":[0.1100821,0.04740302,0.001329888,0.3757399,0.01426189,0.0002605104,0.00275531,0.0004287961,0.4477385],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1125441,"threshold_uncertainty_score":0.3764976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08057004495590041,"score_gpt":0.3392723441497592,"score_spread":0.2587022991938588,"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."}}