{"id":"W4283825490","doi":"10.54986/irjee/2022/jul_sep/64-67","title":"Farmer's Opinion on the Usefulness of Agro-advisory Services in the NICRA Operated Districts of Odisha","year":2022,"lang":"en","type":"article","venue":"Indian Research Journal of Extension Education","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advisory committee; Agriculture; Quarter (Canadian coin); Productivity; Business; Agricultural science; Agricultural economics; Crop; Agroecology; Production (economics); Crop production; Geography; Environmental science; Economics; Economic growth; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003387855,0.00006694966,0.0001364648,0.00006824428,0.0003518659,0.00005998776,0.0006516914,0.00003430634,0.0003103061],"category_scores_gemma":[0.0002294062,0.00001940392,0.00006604307,0.0007852405,0.00006637909,0.0002156131,0.0000850569,0.0005128736,0.00000334241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005449549,"about_ca_system_score_gemma":0.0001130521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007446069,"about_ca_topic_score_gemma":0.0001268608,"domain_scores_codex":[0.9977601,0.001068417,0.000392785,0.0001134868,0.0005132541,0.0001519246],"domain_scores_gemma":[0.9976748,0.00125573,0.0004906716,0.00007795553,0.0004543885,0.00004642834],"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":[0.002048349,0.007696248,0.03973121,0.0001879892,0.000160635,0.00004318228,0.02921119,0.001832195,0.4142567,0.01221463,0.03885981,0.4537579],"study_design_scores_gemma":[0.0001856866,0.001351797,0.8259484,0.0001570823,0.000005922458,0.00009207944,0.1397605,0.00005107796,0.003083509,0.001497825,0.02775965,0.0001064816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809611,0.0004723949,4.38704e-8,0.01782704,0.000242688,0.0002141148,0.00001858319,9.893124e-7,0.0002630592],"genre_scores_gemma":[0.9990386,0.0004509213,0.000004357664,0.0002797927,0.0001535642,0.00001455889,0.00002675422,7.090438e-7,0.00003071918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7862172,"threshold_uncertainty_score":0.3397635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102612329437426,"score_gpt":0.3343338513329613,"score_spread":0.2240726183892187,"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."}}