{"id":"W2324265064","doi":"","title":"Shrimp Farmers' Usage and Preference of Extension Communication Media in Selected Areas of Bagherhat District of Bangladesh","year":2016,"lang":"en","type":"article","venue":"","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shrimp; Dissemination; Schedule; Preference; Quarter (Canadian coin); Shrimp farming; Agricultural science; Indonesian; Agriculture; Business; Geography; Socioeconomics; Agricultural economics; Engineering; Economics; Mathematics; Biology; Fishery; Fish <Actinopterygii>; Statistics; Aquaculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004010228,0.000209301,0.0001918761,0.000755402,0.0009026767,0.0006148141,0.0001659669,0.0002974033,0.002754548],"category_scores_gemma":[0.001140753,0.0001760569,0.0001169531,0.001127445,0.0005229314,0.0004418938,0.0003497729,0.0002041119,0.0003093536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005064508,"about_ca_system_score_gemma":0.0003697035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382694,"about_ca_topic_score_gemma":0.04035335,"domain_scores_codex":[0.9996064,0.0001309242,0.0000435615,0.00006937799,0.00006307968,0.00008659902],"domain_scores_gemma":[0.9991026,0.0003137904,0.0002923108,0.00002471221,0.0001102132,0.0001564757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000152468,0.0001469147,0.9647298,0.00007355294,0.00001843984,0.001138265,0.02258657,0.00007565002,0.00377605,0.0001011216,0.0001572743,0.00704383],"study_design_scores_gemma":[0.000005326823,0.0005144135,0.9358186,0.00002940555,0.00001211607,0.0004445506,0.06197194,0.0001093289,0.0002978569,0.00005121234,0.0007302793,0.00001504964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995777,0.00001684785,0.000009993187,0.00001672255,4.443117e-7,0.000004209149,0.00004150305,3.340182e-7,0.0003321893],"genre_scores_gemma":[0.9994506,0.0000633629,0.00003119216,0.000008989273,7.407103e-7,0.000007188107,0.00002958526,2.985437e-7,0.0004080722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382694,"threshold_uncertainty_score":0.02749288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346817470361288,"score_gpt":0.2354272039067977,"score_spread":0.1919590292031848,"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."}}