{"id":"W2735121413","doi":"10.1515/opis-2017-0003","title":"The Information Practices of the Fishermen in the Bay of Bengal, Bangladesh","year":2017,"lang":"en","type":"article","venue":"Open Information Science","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"BENGAL; Government (linguistics); Poverty; Public relations; Information system; Information needs; Business; Service (business); Bay; Sociology; Economic growth; Marketing; Political science; Engineering; Economics; Library science; Civil engineering; Computer 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":[0.001072046,0.0002221356,0.0002164509,0.001337306,0.003137923,0.001714616,0.000455869,0.0005363145,0.003143277],"category_scores_gemma":[0.004228529,0.0002168122,0.0001083163,0.001638079,0.001522148,0.00109847,0.001230382,0.0003901108,0.0004026487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588516,"about_ca_system_score_gemma":0.002231612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06767636,"about_ca_topic_score_gemma":0.1100578,"domain_scores_codex":[0.9991242,0.0003451634,0.00007670331,0.00007869709,0.0001919001,0.0001833703],"domain_scores_gemma":[0.9969079,0.001317326,0.0008072985,0.0001113052,0.0004552384,0.000400942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006038516,0.0000728637,0.4226832,0.0001943113,0.00001932236,0.001362393,0.5353811,0.00006929891,0.002809513,0.0006668785,0.001000262,0.03568051],"study_design_scores_gemma":[0.000002276576,0.00009859011,0.1515621,0.000102872,0.000007973854,0.0002723567,0.8376944,0.00007314251,0.0002835586,0.00008762642,0.009792498,0.00002260497],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972952,0.0001535641,0.00004036398,0.0005312833,0.000002731886,0.00001087193,0.00004526854,0.000001680822,0.001919075],"genre_scores_gemma":[0.9980385,0.0003747414,0.00009173479,0.0001181171,0.000002797141,0.00001209975,0.00002569548,0.000001027202,0.001335311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06767636,"threshold_uncertainty_score":0.1345649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05518364152796659,"score_gpt":0.3423066812030277,"score_spread":0.287123039675061,"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."}}