{"id":"W3211821830","doi":"10.20525/ijrbs.v10i7.1437","title":"Farm-n-Pedia: Expert mobile agricultural knowledge-based system for Indian Farmers","year":2021,"lang":"en","type":"article","venue":"International Journal of Research in Business and Social Science (2147-4478)","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Agriculture; Crowdsourcing; Knowledge base; Productivity; Expert system; Knowledge management; Agrarian society; Business; Work (physics); Computer science; Engineering; World Wide Web; Economic growth; Geography","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":[0.0005524057,0.0005549151,0.000501912,0.0008313586,0.0007357478,0.0009199147,0.001360412,0.001057915,0.007138533],"category_scores_gemma":[0.001377445,0.0001962549,0.0003787901,0.0004502297,0.0002040381,0.001288461,0.001952917,0.0005545504,0.002288768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004597924,"about_ca_system_score_gemma":0.000749289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005813176,"about_ca_topic_score_gemma":0.006971991,"domain_scores_codex":[0.9997284,0.00005312454,0.00003008997,0.00007811952,0.00006477781,0.00004548609],"domain_scores_gemma":[0.9995236,0.0001686056,0.00003904713,0.00008098835,0.00009390244,0.00009383576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003182736,0.001814104,0.01693969,0.002474151,0.0002318666,0.004627966,0.006666728,0.006908512,0.1018164,0.006489024,0.1583644,0.6904844],"study_design_scores_gemma":[0.0009456875,0.002054675,0.07365824,0.0006872645,0.0007961217,0.004436049,0.007402244,0.2720192,0.07390379,0.01382917,0.5494592,0.000808331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.396966,0.001688456,0.3186552,0.003026713,0.0004952466,0.003318558,0.01356199,0.1837318,0.07855601],"genre_scores_gemma":[0.792437,0.0007095687,0.1673129,0.001164976,0.00009627062,0.001589768,0.007856206,0.0007858192,0.02804752],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.007138533,"threshold_uncertainty_score":0.02388072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111834329736725,"score_gpt":0.3597397100899027,"score_spread":0.3086213667925355,"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."}}