{"id":"W3173508766","doi":"10.3390/su13126879","title":"Systematic Stakeholder Inclusion in Digital Agriculture: A Framework and Application to Canada","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stakeholder; Agriculture; Inclusion (mineral); Business; Corporate governance; Macro; Knowledge management; Digital inclusion; Conversation; Environmental resource management; Process management; Political science; Public relations; Computer science; Economics; The Internet; Sociology; Geography; Social 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609278,0.0001024082,0.0001660561,0.000006303245,0.0002674248,0.0001368049,0.000114437,0.00006986092,0.00002599099],"category_scores_gemma":[0.001721265,0.00003579627,0.0000190901,0.001019841,0.00001630635,0.0001927125,0.0004714644,0.000128711,0.000001139014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653047,"about_ca_system_score_gemma":0.00009386281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0923201,"about_ca_topic_score_gemma":0.5202463,"domain_scores_codex":[0.998983,0.00006597494,0.0002590948,0.0002923445,0.0002145094,0.00018504],"domain_scores_gemma":[0.9987545,0.0004144918,0.0000742563,0.00007274496,0.0006055438,0.00007847837],"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":[0.000250204,0.002374342,0.3873332,0.01737941,0.000161373,0.0003797518,0.01271714,0.0007677795,0.07070029,0.09322727,0.00803374,0.4066755],"study_design_scores_gemma":[0.0001280502,0.0001051829,0.8985409,0.0004629414,0.00002096151,0.0000343768,0.02779841,0.00007000592,0.000900174,0.05243954,0.0189406,0.0005588892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841173,0.0002192167,0.00006145662,0.01476948,0.00002941769,0.0005999412,0.00001829864,0.00001955324,0.0001653401],"genre_scores_gemma":[0.9990782,0.000004406708,0.0000623052,0.0004721503,0.00004527212,0.00008053298,0.00005631529,4.080428e-7,0.0002003716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5112077,"threshold_uncertainty_score":0.9137242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009422256969161328,"score_gpt":0.2296707886325222,"score_spread":0.2202485316633609,"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."}}