{"id":"W3120945707","doi":"10.36312/jisip.v5i1.1679","title":"PENATAAN POTENSI EKOWISATA MANGROVE PANTAI LARITI UNTUK MENINGKATKAN SEKTOR EKONOMI MASYARAKAT DESA SORO KEC. LAMBU KAB. BIMA.","year":2021,"lang":"id","type":"article","venue":"JISIP (Jurnal Ilmu Sosial dan Pendidikan)","topic":"Community-based Tourism Development and Sustainability","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mangrove; Forestry; Geography; Fishery; Biology","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":[0.000219399,0.0005004904,0.0003805342,0.0003772835,0.0009358065,0.001110592,0.0002374045,0.0004198049,0.009513836],"category_scores_gemma":[0.000189729,0.0002670573,0.0003745579,0.0003230833,0.000401755,0.0006180733,0.000697549,0.0007164768,0.001783029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007833608,"about_ca_system_score_gemma":0.0008789221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006772846,"about_ca_topic_score_gemma":0.02107734,"domain_scores_codex":[0.9998061,0.00002510037,0.000008220614,0.00005493149,0.00005574127,0.00004992109],"domain_scores_gemma":[0.9997973,0.00003656546,0.00003693049,0.00001762197,0.00006506964,0.00004646687],"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":[0.000710996,0.0001967936,0.02204914,0.0009094184,0.00007021309,0.001191275,0.001510159,0.0001946407,0.9103979,0.001372656,0.001283546,0.06011339],"study_design_scores_gemma":[0.00004802441,0.001939644,0.4211865,0.0003316691,0.0002640453,0.002935283,0.008721083,0.0009228137,0.3820147,0.001895435,0.179654,0.00008685554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359943,0.004458244,0.00428359,0.0008231103,0.0001736256,0.000159663,0.001158893,0.0003062662,0.05264225],"genre_scores_gemma":[0.9252942,0.001686816,0.004903765,0.0003595931,0.0000235036,0.00007790865,0.0006637569,0.00007327613,0.0669173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009513836,"threshold_uncertainty_score":0.03182691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177435138146478,"score_gpt":0.2843138543900449,"score_spread":0.2625395030085801,"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."}}