{"id":"W3047218059","doi":"","title":"Lake Danao, San Francisco, Cebu as cleanest and greenest lake: Its development, problems and prospects","year":2013,"lang":"en","type":"article","venue":"SEAFDEC/AQD Repository (Southeast Asian Fisheries Development Center)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental planning","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":[0.0003986548,0.0004114657,0.0001510713,0.0008516533,0.004536786,0.004023703,0.000939853,0.0009563973,0.009676576],"category_scores_gemma":[0.000403737,0.0001861356,0.0001096329,0.001279861,0.001400048,0.001276766,0.002024917,0.0008377291,0.0005406548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006283569,"about_ca_system_score_gemma":0.01057736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4116463,"about_ca_topic_score_gemma":0.7096799,"domain_scores_codex":[0.9997525,0.00003940452,0.000006003429,0.00003021861,0.00006221674,0.0001096996],"domain_scores_gemma":[0.9995034,0.00002363803,0.0000388868,0.00001142263,0.0001324291,0.0002903943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000506011,0.0004644868,0.2662065,0.002649201,0.00007572213,0.01011926,0.05031936,0.000496502,0.009139829,0.04077496,0.3481971,0.271051],"study_design_scores_gemma":[0.0000218455,0.0001202947,0.1668658,0.0004406719,0.00002459488,0.0008705261,0.06017725,0.0001496946,0.0007180841,0.0006013043,0.7699729,0.00003707641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5795722,0.09165744,0.0004315109,0.08965144,0.001022612,0.0002669682,0.001468725,0.0002496164,0.2356795],"genre_scores_gemma":[0.8007896,0.03205227,0.002044696,0.002789543,0.000176583,0.0001743734,0.0009109652,0.0000448964,0.161017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4116463,"threshold_uncertainty_score":0.8185006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00705585768835091,"score_gpt":0.173336282245918,"score_spread":0.1662804245575671,"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."}}