{"id":"W2740761987","doi":"","title":"SUMBER DAYA LAUT INDONESIA DALAM KANCAH MASYARAKAT EKONOMI ASEAN, ANTARA JEBAKAN REIFIKASI DAN DEEP ECOLOGY","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Legal Studies and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecology; Geography; Political science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002771659,0.000439385,0.001123279,0.000419247,0.001739762,0.001620865,0.003396551,0.0002784977,0.002277568],"category_scores_gemma":[0.0006469446,0.0003985131,0.0002982296,0.000984704,0.0008463293,0.002158027,0.0012412,0.0006009307,0.00005540183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891585,"about_ca_system_score_gemma":0.0002636168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01933141,"about_ca_topic_score_gemma":0.02002518,"domain_scores_codex":[0.9954746,0.001091741,0.0009589193,0.0006011386,0.000828608,0.001044953],"domain_scores_gemma":[0.996659,0.0009167106,0.0009503235,0.0005755064,0.000370423,0.0005280259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008721695,0.0001667841,0.9480802,0.00003314887,0.0001837638,0.00002407983,0.003052703,0.00006381232,0.0008971379,0.005277629,0.0331605,0.008973071],"study_design_scores_gemma":[0.0004112061,0.00001706439,0.6793926,0.0000647786,0.00006849339,0.000004867272,0.0006312387,0.00001956933,0.0006776297,0.001321613,0.3170003,0.0003905678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923545,0.004392548,0.00005752348,0.002220659,0.001567142,0.0005715537,0.00002006859,0.00007686448,0.0987391],"genre_scores_gemma":[0.9871118,0.009088234,0.00005638465,0.001245113,0.00121214,0.00005634208,0.00001310763,0.00005680047,0.001160045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2838399,"threshold_uncertainty_score":0.9998467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624319695168277,"score_gpt":0.5293518655774573,"score_spread":0.3669198960606296,"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."}}