{"id":"W4252618109","doi":"10.31219/osf.io/4zq85","title":"ANALISIS BIOEKONOMI SUMBERDAYA IKAN PELAGIS KECIL DI KECAMATAN TEHORU KABUPATEN MALUKU TENGAH","year":2021,"lang":"id","type":"preprint","venue":"","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001232787,0.0015211,0.001739404,0.0002336489,0.0005865336,0.001296239,0.002325685,0.001087564,0.05718771],"category_scores_gemma":[0.0001097428,0.001447219,0.001110287,0.0009055834,0.0004755981,0.0006512486,0.01050369,0.001677061,0.005244558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172802,"about_ca_system_score_gemma":0.0002777739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09089746,"about_ca_topic_score_gemma":0.03590848,"domain_scores_codex":[0.9911162,0.0006512295,0.001878681,0.003181385,0.001449213,0.001723331],"domain_scores_gemma":[0.9947022,0.0001935764,0.0007677018,0.003209638,0.0001059112,0.00102099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001322158,0.001502212,0.9134297,0.001036099,0.001068072,0.0007902152,0.001729859,0.002570083,0.005162998,0.000776053,0.0204466,0.05135586],"study_design_scores_gemma":[0.002314711,0.000567873,0.7651866,0.001245278,0.001012478,0.0003791769,0.02319806,0.03118286,0.005240465,0.0002230114,0.1624799,0.006969558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5782624,0.0003415898,0.0005902589,0.0009614276,0.001619217,0.001010018,0.0003460762,0.0002197642,0.4166492],"genre_scores_gemma":[0.9515892,0.001386771,0.0003712504,0.0004099626,0.0004713721,0.0001839061,0.0008486605,0.000155192,0.04458364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3733268,"threshold_uncertainty_score":0.9997538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525614222696662,"score_gpt":0.2180683568155517,"score_spread":0.2028122145885851,"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."}}