{"id":"W4403251866","doi":"10.5958/2349-297x.2024.00041.8","title":"Impact of infrastructure and public investment on development of livestock sector in Jammu &amp; Kashmir-India","year":2024,"lang":"en","type":"article","venue":"SKUAST JOURNAL OF RESEARCH","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research","funders":"","keywords":"Livestock; Investment (military); Veterinary medicine; Agriculture; Public sector; Agricultural economics; Economic growth; Medicine; Business; Socioeconomics; Biotechnology; Geography; Biology; Political science; Economics; Economy; Politics","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":[0.0003147157,0.0002289522,0.000142355,0.000919934,0.0003478143,0.001382564,0.0004343512,0.0002440594,0.00441156],"category_scores_gemma":[0.001139924,0.0002044915,0.0004116044,0.001094241,0.000482154,0.0005108808,0.001236712,0.0006368816,0.0002463324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002701783,"about_ca_system_score_gemma":0.002447254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06695717,"about_ca_topic_score_gemma":0.1091643,"domain_scores_codex":[0.9995245,0.0001460172,0.00001399524,0.00002353937,0.00004561272,0.0002463656],"domain_scores_gemma":[0.9987335,0.0005060564,0.0003246322,0.00004619106,0.0001194432,0.0002702607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002258277,0.0002611177,0.9422992,0.00013703,0.000172823,0.002392998,0.001608193,0.01836252,0.001191196,0.01205932,0.002235631,0.01905413],"study_design_scores_gemma":[0.000008737662,0.0001618734,0.9804397,0.00006920499,0.00007776624,0.0004699476,0.004017882,0.01070587,0.0004772966,0.0008616689,0.002692719,0.00001720701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956321,0.0002028445,0.00009436302,0.0003612347,0.000003681705,0.000005646203,0.0002389101,0.00001190094,0.003449282],"genre_scores_gemma":[0.9989654,0.0001643179,0.00003634831,0.0000141662,0.0000023397,0.000002826499,0.00009213894,0.000001294519,0.0007212366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06695717,"threshold_uncertainty_score":0.1331349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056438251535437,"score_gpt":0.4400919405728613,"score_spread":0.3344481154193176,"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."}}