{"id":"W4395955594","doi":"10.18280/ijsdp.190408","title":"Assessing the Impacts of Fish In-Cage Farming and Tourism on Lake Toba’s Water Quality","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cage; Water quality; Fishery; Environmental science; Tourism; Agriculture; Fish <Actinopterygii>; Fish farming; Water resource management; Hydrology (agriculture); Aquaculture; Geography; Geology; Ecology; Biology; Engineering; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001103186,0.00005911502,0.00009080397,0.0001028354,0.00006473417,0.0001443261,0.0001067997,0.00002240066,0.00008050025],"category_scores_gemma":[0.00005258756,0.0000331126,0.00001888104,0.00005649518,0.00002133017,0.0003142235,0.0001382675,0.0001042616,0.00000217403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138676,"about_ca_system_score_gemma":0.00002968269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001591288,"about_ca_topic_score_gemma":0.00005268557,"domain_scores_codex":[0.9992658,0.00002778422,0.0002434011,0.00007718946,0.0002655264,0.000120225],"domain_scores_gemma":[0.999736,0.00009665073,0.00006983195,0.00002305911,0.0000332361,0.00004122796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000124738,0.00005435952,0.909278,0.0001079464,0.0001603327,0.003198112,0.05683332,0.001461589,0.001412881,0.0002041752,0.004706794,0.02245774],"study_design_scores_gemma":[0.0003126023,0.00005893228,0.9312121,0.0005030042,0.000008088968,0.00007742664,0.03146451,0.0002296969,0.002526219,0.0002960536,0.03318011,0.0001312031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998001,0.00004204535,0.0001611119,0.0008939807,0.0001189359,0.00004940722,0.000001826354,0.000001961995,0.0007296813],"genre_scores_gemma":[0.9992911,0.000005460054,0.0002917204,0.000155456,0.00003568453,4.540129e-7,0.000001949936,0.000001954884,0.0002162546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02847332,"threshold_uncertainty_score":0.139174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228528642175536,"score_gpt":0.2863093947743146,"score_spread":0.2640241083525592,"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."}}