{"id":"W2053469106","doi":"10.1080/1389224x.2012.670050","title":"Learning and Innovation Competence in Agricultural and Rural Development","year":2012,"lang":"en","type":"article","venue":"The Journal of Agricultural Education and Extension","topic":"Competency Development and Evaluation","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"International Development Research Centre","keywords":"Agricultural education; Competence (human resources); Business; Agriculture; Rural development; Agricultural development; Economic growth; Knowledge management; Marketing; Management; Geography; Economics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008473876,0.00009780594,0.0001209364,0.0001412453,0.0001657896,0.00002849528,0.00004015988,0.00004211296,0.00003231376],"category_scores_gemma":[0.00007278693,0.00004815017,0.000009484171,0.0003335411,0.00003531071,0.0003284284,0.00003158711,0.0001972092,0.000005732733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003844827,"about_ca_system_score_gemma":0.00003477343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166931,"about_ca_topic_score_gemma":0.000007217543,"domain_scores_codex":[0.9991596,0.0001373349,0.0003501845,0.00006443016,0.0001454947,0.0001429003],"domain_scores_gemma":[0.9993311,0.00007959897,0.000248959,0.00003017111,0.0002543119,0.00005583274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000226017,0.0004668244,0.4049104,0.00005088794,0.00007737095,6.257818e-7,0.1668357,0.00002718082,0.1133943,0.006789234,0.004308481,0.302913],"study_design_scores_gemma":[0.0002694477,0.00005377601,0.9570841,0.00008069865,0.00001633063,0.0004978755,0.04079361,0.000003234765,0.0001642247,0.00006557305,0.0008839815,0.00008716986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950852,0.002450645,0.000007420079,0.001263498,0.0005669189,0.0001053795,5.377069e-8,0.000004923372,0.0005159326],"genre_scores_gemma":[0.9983693,0.0002458342,0.0004328387,0.00009743588,0.0001532111,0.000002963911,0.00000775593,0.00000266387,0.0006879878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5521737,"threshold_uncertainty_score":0.1963507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585205350254164,"score_gpt":0.3172688172221473,"score_spread":0.2914167637196056,"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."}}