{"id":"W2901631248","doi":"10.56059/jl4d.v5i3.304","title":"Enhancing ICT Adoption and Use through Change Leadership: Technology Stewardship Training for Caribbean Agricultural Communities of Practice","year":2018,"lang":"en","type":"article","venue":"Journal of Learning for Development","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"","keywords":"Stewardship (theology); Information and Communications Technology; Training (meteorology); Business; Agriculture; Knowledge management; Environmental resource management; Public relations; Political science; Geography; Computer science; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007127814,0.0004100614,0.0002419842,0.001113246,0.005769623,0.004544066,0.001372118,0.001185107,0.005421259],"category_scores_gemma":[0.01534301,0.0003019975,0.0002578451,0.000778063,0.001949659,0.002018,0.00845426,0.001567216,0.0005632553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004644995,"about_ca_system_score_gemma":0.02474937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02287865,"about_ca_topic_score_gemma":0.1007574,"domain_scores_codex":[0.9957877,0.002466301,0.0000831022,0.000185978,0.0004787549,0.0009982211],"domain_scores_gemma":[0.9888408,0.003838102,0.0006955263,0.0005315661,0.001144056,0.004950055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002173554,0.006406012,0.03474589,0.0009361689,0.00003484202,0.002005876,0.2317593,0.0005831156,0.005566105,0.00459731,0.009228473,0.7039196],"study_design_scores_gemma":[0.0003836813,0.004786688,0.1241401,0.003142303,0.0001231492,0.001132326,0.617781,0.003194337,0.006559605,0.009436376,0.229132,0.0001884468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210977,0.0008625315,0.004872957,0.01774908,0.0001031899,0.001292126,0.00003013216,0.000141429,0.05385091],"genre_scores_gemma":[0.9762318,0.001151199,0.01441405,0.001148099,0.00002510026,0.0005395102,0.00003161221,0.0000278842,0.006430857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02287865,"threshold_uncertainty_score":0.04549098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1569536641837975,"score_gpt":0.2994123474846893,"score_spread":0.1424586833008918,"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."}}