{"id":"W3115138554","doi":"10.30649/fisheries.v2i2.36","title":"ANALISIS BIOMASSA DAN CADANGAN KARBON PADA EKOSISTEM LAMUN DI DESA TELUK BAKAU KABUPATEN BINTAN","year":2020,"lang":"id","type":"article","venue":"Fisheries Jurnal Perikanan dan Ilmu Kelautan","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Environmental science; Geology; Forestry; Geography","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":[0.0004386316,0.0006673794,0.000516432,0.001532349,0.001007843,0.001700419,0.0004113176,0.0004650179,0.008655963],"category_scores_gemma":[0.0003652803,0.0002684327,0.0008321159,0.001565179,0.000336288,0.000773414,0.0007025188,0.0007776716,0.002093047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009038028,"about_ca_system_score_gemma":0.0005978192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009324057,"about_ca_topic_score_gemma":0.0366532,"domain_scores_codex":[0.9995728,0.00003383747,0.00002910762,0.0001333984,0.0001625708,0.00006835462],"domain_scores_gemma":[0.9995406,0.00009104452,0.00006951249,0.00002858879,0.0002245494,0.00004577242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001814946,0.0003866663,0.327393,0.001932364,0.0004745176,0.001362634,0.003713535,0.001527992,0.5233789,0.001492221,0.003134657,0.1333885],"study_design_scores_gemma":[0.00001788562,0.0009286199,0.7867549,0.0002685188,0.0003113922,0.0007134096,0.007927039,0.001889375,0.1350653,0.0008730497,0.06517894,0.00007149076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603385,0.002965455,0.004590282,0.000167957,0.0001044161,0.0001494009,0.006112009,0.0001685896,0.02540334],"genre_scores_gemma":[0.9268466,0.002201417,0.008509006,0.0002258764,0.00002197793,0.0002154514,0.005903658,0.0001440652,0.05593178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009324057,"threshold_uncertainty_score":0.02895707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674961932608889,"score_gpt":0.2002371422538654,"score_spread":0.1834875229277765,"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."}}