{"id":"W2912387854","doi":"10.35800/akulturasi.6.11.2018.21523","title":"ANALISIS TINGKAT PENDAPATAN MASYARAKAT NELAYAN SOMA PAJEKO DI KECAMATAN SALIBABU KABUPATEN KEPULAUAN TALAUD SULAWESI UTARA","year":2018,"lang":"en","type":"article","venue":"AKULTURASI (Jurnal Ilmiah Agrobisnis Perikanan)","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Fishing; Geography; Livelihood; Fishery; Lagging; Artisanal fishing; Poverty; Marine protected area; Socioeconomics; Economic growth; Habitat; Ecology; Economics; Agriculture","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":[0.0005924645,0.0003349622,0.0003146596,0.001413072,0.001106937,0.001044039,0.0005866404,0.000377457,0.009684895],"category_scores_gemma":[0.0009483565,0.0002251279,0.0004117721,0.00171393,0.0004894615,0.0005127984,0.0006544549,0.0006782063,0.001385919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097902,"about_ca_system_score_gemma":0.002125282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06601239,"about_ca_topic_score_gemma":0.1308617,"domain_scores_codex":[0.9995317,0.00006243025,0.00005218676,0.00008132538,0.0001431524,0.0001292166],"domain_scores_gemma":[0.9994265,0.0000529555,0.0001120174,0.00002436066,0.0002880351,0.0000961744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001658091,0.000194374,0.9427613,0.0006955871,0.0001173697,0.002656471,0.0105436,0.0001066072,0.003363507,0.0008269784,0.007588705,0.03097961],"study_design_scores_gemma":[0.000004838823,0.0001215627,0.9381035,0.0003181896,0.00009076199,0.00184945,0.03773133,0.0002485908,0.001003565,0.000168758,0.02033744,0.00002205927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800771,0.002368127,0.0003922417,0.000786378,0.00009567747,0.0001158446,0.002506707,0.00002277735,0.01363531],"genre_scores_gemma":[0.9792326,0.002144237,0.0007641168,0.0004386404,0.00003073324,0.0001079457,0.002145663,0.00001698651,0.01511911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06601239,"threshold_uncertainty_score":0.1312563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008180988250060703,"score_gpt":0.2161757257907902,"score_spread":0.2079947375407295,"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."}}