{"id":"W4310482807","doi":"10.46576/wdw.v16i4.2421","title":"FEASIBILITY SIMULATION OF HOUSEHOLD SCALE CATFISH RAISING BUSINESS IN THE FIRST QUARTER OF 2022","year":2022,"lang":"en","type":"article","venue":"Warta Dharmawangsa","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catfish; Revenue; Profit (economics); Quarter (Canadian coin); Net profit; Variable cost; Economics; Production (economics); Total revenue; Investment (military); Data collection; Agricultural science; Business; Operations management; Agricultural economics; Fishery; Microeconomics; Mathematics; Finance; Statistics; Fish <Actinopterygii>; Geography; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005494414,0.00006074748,0.0001173193,0.00001250434,0.0001445437,0.00001076134,0.0002103549,0.0000223383,0.0004706212],"category_scores_gemma":[0.00003776297,0.0000246792,0.00004676836,0.0006252964,0.00003849573,0.0001008204,0.00005316566,0.00008100012,0.000001214333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002128611,"about_ca_system_score_gemma":0.00001055933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009730216,"about_ca_topic_score_gemma":0.0005702019,"domain_scores_codex":[0.9991059,0.0001217177,0.0002602425,0.0001368787,0.0002718836,0.0001033635],"domain_scores_gemma":[0.9994541,0.0002636888,0.0001415543,0.00007681246,0.00005163502,0.00001220667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001233969,0.0005039048,0.9557471,0.00003931453,0.000007672164,0.000001977601,0.004082032,0.006403709,0.02414005,0.00007247022,0.003135934,0.005742484],"study_design_scores_gemma":[0.0002151725,0.0000730703,0.9901797,0.000009056914,0.000009602158,0.00000118365,0.003170207,0.002235527,0.0007384029,0.0003561116,0.002937105,0.00007488539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996561,0.00004155954,0.000009640076,0.0028446,0.0000600863,0.0002337339,0.00004098569,0.000009937268,0.0001984689],"genre_scores_gemma":[0.9994254,0.000002173664,0.000005112176,0.0004453751,0.00004492072,0.00001925036,0.0000433762,5.914676e-7,0.00001380382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03443262,"threshold_uncertainty_score":0.5152972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06079605277020458,"score_gpt":0.2522644627090275,"score_spread":0.1914684099388229,"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."}}