{"id":"W7056903357","doi":"","title":"How can Canada help Haiti without making a bad situation worse?","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Intervention (counseling); Happening; Poverty; Government (linguistics); Foreign policy","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":[0.0007251287,0.000622585,0.0002577212,0.000705177,0.0125916,0.00523338,0.001058173,0.004476203,0.0658888],"category_scores_gemma":[0.003278393,0.0001938955,0.0002523589,0.0009179172,0.002830317,0.002796658,0.002281911,0.002733261,0.01413573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01160516,"about_ca_system_score_gemma":0.06193222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9011086,"about_ca_topic_score_gemma":0.9641427,"domain_scores_codex":[0.9991996,0.00007491284,0.00001082276,0.00004559793,0.0002108063,0.000458236],"domain_scores_gemma":[0.9976502,0.00009923778,0.00004806511,0.00004420059,0.0008957673,0.0012625],"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":[0.00002088903,0.00004206521,0.00138581,0.0001099636,0.000005597639,0.000205362,0.0006696361,0.00006111278,0.0002233143,0.005074259,0.9398099,0.05239201],"study_design_scores_gemma":[0.00001162418,0.00001913753,0.002355506,0.0002376995,0.00001140642,0.0001534549,0.01485382,0.0001047202,0.0003003903,0.001700356,0.9802207,0.00003117088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0101553,0.01236838,0.0009797288,0.5781528,0.01280189,0.0001904912,0.001011578,0.0006404219,0.3836994],"genre_scores_gemma":[0.07959539,0.02825293,0.004109327,0.09665281,0.001027837,0.000116758,0.0006237235,0.0002829951,0.7893382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09889144,"threshold_uncertainty_score":0.2204199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005152108955287496,"score_gpt":0.1694969808607535,"score_spread":0.164344871905466,"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."}}