{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005603479,0.0009792373,0.0008974317,0.0001752341,0.001114891,0.0005610733,0.001499787,0.0003721836,0.01242931],"category_scores_gemma":[0.00007886826,0.0008032646,0.0005040515,0.001148055,0.0007446344,0.001493567,0.001092059,0.0006408638,0.003861962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005501682,"about_ca_system_score_gemma":0.00006324035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382391,"about_ca_topic_score_gemma":0.01009634,"domain_scores_codex":[0.9940786,0.0002915041,0.00124877,0.001475429,0.001251569,0.001654147],"domain_scores_gemma":[0.9970366,0.00007695734,0.0006159534,0.001276429,0.000118479,0.0008755371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004292201,0.00060248,0.8378806,0.0001092509,0.000331025,0.0007289042,0.004380595,0.0003941306,0.07012153,0.0007167883,0.02473391,0.0595716],"study_design_scores_gemma":[0.002384419,0.001611,0.720959,0.0002707686,0.0002940146,0.001470364,0.004190981,0.003624752,0.01316623,0.0003017411,0.2485818,0.003144978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437785,0.0001208269,0.00007930416,0.0006485506,0.0008385265,0.0005834932,0.00009503168,0.0004344915,0.05342132],"genre_scores_gemma":[0.9933714,0.0001023435,0.0002547367,0.0006297739,0.001009215,0.00006504284,0.0001477599,0.0001683597,0.0042514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2238479,"threshold_uncertainty_score":0.9994418,"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."}}