{"id":"W4313231782","doi":"10.33474/e-jbst.v8i1.509","title":"Keanekaragaman dan Kelimpahan Makrozoobentos Sebagai Bioindikator Kualitas Air di Situ Patengan, Kabupaten Bandung, Jawa Barat","year":2022,"lang":"en","type":"article","venue":"Jurnal Ilmiah Biosaintropis (Bioscience -Tropic)","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Bioindicator; Diversity index; Dominance (genetics); Water quality; Pomacea canaliculata; Ecology; Forestry; Abundance (ecology); Biology; Geography; Species richness; Fishery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008199147,0.0007041681,0.0008577854,0.0006185751,0.00149789,0.000153049,0.0009712849,0.0001869427,0.0008421574],"category_scores_gemma":[0.00008875258,0.0006122526,0.0004193254,0.001243065,0.0005102943,0.0003831158,0.001118455,0.001153817,0.0001939058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763622,"about_ca_system_score_gemma":0.0002547159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008142472,"about_ca_topic_score_gemma":0.0001175482,"domain_scores_codex":[0.9931871,0.0004871837,0.001134422,0.00140233,0.002066742,0.001722238],"domain_scores_gemma":[0.9970774,0.00006999126,0.0004191206,0.001191166,0.00008346748,0.001158864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001655027,0.004300363,0.5807644,0.001077787,0.0007160823,0.005160964,0.005857626,0.0008657058,0.2763685,0.006276618,0.03563306,0.08132388],"study_design_scores_gemma":[0.004927648,0.005541979,0.7457637,0.0001947634,0.0003396299,0.0009107931,0.009785279,0.002502768,0.01414167,0.00008749803,0.2142946,0.001509762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97746,0.0004443986,0.0002307585,0.01569714,0.001400899,0.001395779,0.0002121167,0.0002386145,0.002920329],"genre_scores_gemma":[0.9873946,0.0002554662,0.0003860826,0.007295884,0.0006365621,0.0001457897,0.0002509845,0.0000911917,0.003543468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2622268,"threshold_uncertainty_score":0.9998021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173730736704328,"score_gpt":0.2642954050286371,"score_spread":0.2425580976615938,"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."}}