{"id":"W1554866566","doi":"","title":"Assessment of India's Agrometeorological Advisory Service from a farmer perspective","year":2014,"lang":"en","type":"article","venue":"CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Instituto de Investigação Científica Tropical; Ministry of Earth Sciences; Danish International Development Agency; Australian Government; Irish Aid; Australian Agency for International Development; European Commission; International Fund for Agricultural Development; China Scholarship Council; Multiple Sclerosis Scientific Research Foundation; Indian Council of Agricultural Research","keywords":"Perspective (graphical); Service (business); Business; Water resource management; Geography; Environmental science; Mathematics; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01255937,0.00039166,0.000226923,0.005252245,0.006613519,0.01013448,0.002162542,0.001642279,0.0115303],"category_scores_gemma":[0.02180715,0.0004563696,0.0003833238,0.007249433,0.001973022,0.002637957,0.004646076,0.002506271,0.0008781261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02920632,"about_ca_system_score_gemma":0.06505665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.189201,"about_ca_topic_score_gemma":0.2416949,"domain_scores_codex":[0.9808308,0.005152217,0.0008489054,0.0006911587,0.007797966,0.004678833],"domain_scores_gemma":[0.9583224,0.01334017,0.003432118,0.0009514773,0.01787943,0.006074461],"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":[0.0005316123,0.000607327,0.2966678,0.002646532,0.0001511797,0.005146172,0.1238374,0.002675095,0.007220272,0.1002391,0.1445125,0.315765],"study_design_scores_gemma":[0.00003696799,0.000612941,0.3218324,0.000674405,0.0001019834,0.0007693936,0.2186523,0.0009412583,0.001522675,0.002185956,0.4524778,0.0001917215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4994332,0.002413284,0.001539863,0.08497192,0.000531878,0.0009142844,0.002251874,0.0002780989,0.4076656],"genre_scores_gemma":[0.9529925,0.002285978,0.001386825,0.01125605,0.0001743613,0.0002665234,0.000692635,0.00004001519,0.03090518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.189201,"threshold_uncertainty_score":0.3761995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06491617684041907,"score_gpt":0.3567593684772991,"score_spread":0.29184319163688,"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."}}