{"id":"W6894283346","doi":"10.5683/sp2/dsrtmj","title":"Verified incident: Ngarbuh Massacre, Ntumbaw, Cameroon (February 2020)","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Set (abstract data type); Identification (biology); Process (computing); Field (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088485,0.00220221,0.0008881277,0.002965333,0.001299475,0.002196597,0.001438657,0.001835704,0.124976],"category_scores_gemma":[0.006982398,0.0006065507,0.0007353055,0.004654278,0.0003634012,0.001717901,0.001555103,0.001445282,0.08787694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877193,"about_ca_system_score_gemma":0.004632063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1592967,"about_ca_topic_score_gemma":0.2107968,"domain_scores_codex":[0.9993349,0.00008113468,0.00006721294,0.0001678695,0.0001697544,0.0001791627],"domain_scores_gemma":[0.9978759,0.0003695031,0.0002016368,0.0003629937,0.000864296,0.0003256151],"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":[0.00002806314,0.000004736636,0.0005240301,0.0000937756,0.000004208928,0.00001106362,0.00000610318,0.0001292669,0.00001817578,0.0001229167,0.9980412,0.001016412],"study_design_scores_gemma":[0.0001896868,0.00001800024,0.01004093,0.000341644,0.00002010904,0.00003995813,0.0001925629,0.0008461021,0.0003125739,0.0009309324,0.9870306,0.00003685999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001209436,0.00004801234,0.00003748162,0.0001449495,0.000105843,0.00001703194,0.9978635,0.0002576228,0.001404658],"genre_scores_gemma":[0.001003469,0.00009090095,0.0002373946,0.0001087145,0.00003130002,0.00008172154,0.9950573,0.00007849047,0.003310736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1592967,"threshold_uncertainty_score":0.4180865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801480970785633,"score_gpt":0.2602062695085746,"score_spread":0.2421914598007183,"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."}}