{"id":"W2153782872","doi":"10.6000/1927-5129.2015.11.01","title":"Determinants of Catfish Production in Akwa Ibom State, Nigeria","year":2015,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catfish; Production (economics); Profitability index; Agricultural science; Revenue; Fishing; Descriptive statistics; Fishery; Total revenue; Business; Fish <Actinopterygii>; Economics; Biology; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002211295,0.0001629968,0.0001234892,0.0005032317,0.0004524523,0.0005752523,0.0001336351,0.0001649227,0.001545173],"category_scores_gemma":[0.0006759607,0.0001437617,0.0001075992,0.0005982202,0.0003414026,0.0002651911,0.0003982668,0.0002305406,0.00009594382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591289,"about_ca_system_score_gemma":0.0007760774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229385,"about_ca_topic_score_gemma":0.05107623,"domain_scores_codex":[0.999861,0.00002794492,0.00001609628,0.00001956157,0.00002571001,0.00004967014],"domain_scores_gemma":[0.9994785,0.0001014591,0.0002563831,0.00001373411,0.00005203316,0.00009784077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001790925,0.00004266198,0.9949412,0.00003108195,0.000007150367,0.0005456329,0.0006611953,0.00009422292,0.0008053146,0.0001614955,0.00006909399,0.002623016],"study_design_scores_gemma":[8.063843e-7,0.00002494094,0.9963837,0.00003270755,0.000004288333,0.0001981572,0.002824267,0.0001010226,0.00007068571,0.00004429815,0.0003130496,0.000001987815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991109,0.00009637794,0.00002276749,0.000057974,0.000001433076,0.000005057863,0.00004486746,6.717403e-7,0.0006599157],"genre_scores_gemma":[0.9996177,0.0001375459,0.00004079789,0.000005659034,6.353143e-7,0.000003269774,0.00002461295,3.162119e-7,0.0001695051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02229385,"threshold_uncertainty_score":0.04432815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242841737923601,"score_gpt":0.2837159396349869,"score_spread":0.2512875222557509,"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."}}