{"id":"W3136804501","doi":"10.31273/lgd.2019.2502","title":"Embracing the Data Revolution for Development","year":2021,"lang":"en","type":"article","venue":"Journal of Law Social Justice and Global Development","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Social Sciences and Humanities Research Council of Canada; University of Cape Town; American University in Cairo; International Development Research Centre; University of Johannesburg; University of Ottawa","keywords":"Context (archaeology); Indigenous; Corporate governance; Data governance; Agriculture; Economic Justice; Business; Political science; Geography; Marketing; Data quality; Service (business)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03245162,0.0004750788,0.0006252281,0.001987906,0.008095587,0.01801799,0.001591346,0.005656418,0.004798721],"category_scores_gemma":[0.03250477,0.0003413297,0.0005839652,0.002920961,0.0474696,0.02565734,0.02332835,0.008767697,0.001076639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007430584,"about_ca_system_score_gemma":0.0144268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005875596,"about_ca_topic_score_gemma":0.004796182,"domain_scores_codex":[0.9752656,0.0146529,0.0009245457,0.001965618,0.004671964,0.002519391],"domain_scores_gemma":[0.9644926,0.0222439,0.001672156,0.006669284,0.002994475,0.001927677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004161123,0.000005457126,0.000147427,0.00002949386,0.000002978104,0.00004356462,0.00344214,0.0001114294,0.00005472916,0.983851,0.00286845,0.00943925],"study_design_scores_gemma":[0.000005988059,0.00001290234,0.0001758966,0.0002305107,0.000003671944,0.0000857671,0.003535328,0.0002424853,0.0001662287,0.7304307,0.2650969,0.00001361541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02284173,0.02319462,0.09750128,0.4324895,0.001788515,0.0001476763,0.0001902038,0.0002278745,0.4216187],"genre_scores_gemma":[0.8648545,0.01534602,0.02831307,0.04967416,0.002227992,0.0004031068,0.0001725732,0.0002282367,0.03878043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03245162,"threshold_uncertainty_score":0.1716226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0979009945191308,"score_gpt":0.3271384867674676,"score_spread":0.2292374922483368,"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."}}