{"id":"W2335435381","doi":"10.5027/jnrd.v4i0.07","title":"Factors influencing adoption of farm management practices in three agrobiodiversity hotspots in India: an analysis using the count data model","year":2014,"lang":"en","type":"article","venue":"Journal of Natural Resources and Development","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cropping; Agriculture; Nutrient management; Business; Agricultural science; Agroforestry; Agricultural economics; Geography; Economics; Environmental science","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":[0.001269901,0.0004885652,0.0005061571,0.001505105,0.0006602863,0.001606758,0.001157245,0.0006567567,0.002947394],"category_scores_gemma":[0.003539174,0.0004693213,0.001570355,0.002041332,0.0007031226,0.0005288924,0.00111428,0.001039835,0.0005084952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023155,"about_ca_system_score_gemma":0.001127485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06459155,"about_ca_topic_score_gemma":0.03199444,"domain_scores_codex":[0.9987349,0.0005177655,0.00008488107,0.0002166654,0.0001467338,0.0002991115],"domain_scores_gemma":[0.9932098,0.004169742,0.001319141,0.0003706428,0.0004526663,0.0004780812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006488875,0.0001426074,0.992631,0.00001854357,0.0001290552,0.0002235763,0.0004982004,0.003788038,0.0001801761,0.0001192046,0.0001915306,0.002013205],"study_design_scores_gemma":[0.00001440853,0.000303343,0.9232296,0.00002260983,0.0001491118,0.0002830078,0.004825889,0.07019406,0.0002834925,0.0001519598,0.0005065028,0.00003601357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990398,0.00001659487,0.0003831678,0.00004840471,0.000001929061,0.00001824159,0.0002864067,0.00001388108,0.0001915256],"genre_scores_gemma":[0.9986255,0.00003110619,0.0004321508,0.00001103039,0.000002838851,0.00003881073,0.0005613294,0.000003631863,0.0002936262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06459155,"threshold_uncertainty_score":0.1284312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08081948522882587,"score_gpt":0.2694002256250055,"score_spread":0.1885807403961797,"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."}}