{"id":"W3003622591","doi":"10.37439/jurnaldrd.v12i1.4","title":"Survey Identifikasi Pulau-pulau Tenggelam di Teluk Jakarta","year":2019,"lang":"id","type":"article","venue":"Jurnal Riset Jakarta","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Geography; Forestry","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":[0.002326843,0.0009006684,0.0008676073,0.0002834874,0.0005269831,0.0007843337,0.001564719,0.0003316391,0.01738019],"category_scores_gemma":[0.0002326516,0.0008632746,0.0004168003,0.001117511,0.0003226574,0.001098224,0.002355795,0.0008719573,0.06593964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990837,"about_ca_system_score_gemma":0.0001180094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002040511,"about_ca_topic_score_gemma":0.004554578,"domain_scores_codex":[0.9928278,0.0004883613,0.001313832,0.001594386,0.002126425,0.001649146],"domain_scores_gemma":[0.9968033,0.0003727989,0.000582766,0.001448687,0.00007700508,0.0007153983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002115501,0.0005457186,0.8967174,0.0001206331,0.0002125986,0.0001379712,0.000606193,0.0001445803,0.002897119,0.00009347267,0.07855769,0.01975504],"study_design_scores_gemma":[0.001206469,0.000226405,0.8630712,0.0001716955,0.00009905466,0.00001793995,0.0002945779,0.0008267211,0.0007116236,0.0001828314,0.1321457,0.001045735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364341,0.0004198368,0.000119531,0.0007412112,0.003852381,0.001364378,0.0001864521,0.0001112344,0.0567709],"genre_scores_gemma":[0.849708,0.0004348409,0.00009766052,0.000436986,0.0002335529,0.00002846122,0.0002302717,0.00009802345,0.1487322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09196132,"threshold_uncertainty_score":0.9993818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349384806794385,"score_gpt":0.2309158088114414,"score_spread":0.2174219607434975,"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."}}