{"id":"W4245292160","doi":"10.31227/osf.io/muq85","title":"ANALISIS BENTUKLAHAN SEBAGAI LANDASAN TERWUJUDNYA SUSTAINABLE COASTAL AREA DI INDONESIA","year":2018,"lang":"id","type":"preprint","venue":"","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":0,"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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001010854,0.001237626,0.0009630863,0.0004129923,0.0007872385,0.0009925179,0.001626944,0.0005264985,0.02474275],"category_scores_gemma":[0.00004126264,0.001152013,0.0004446562,0.0008941347,0.0006971894,0.000693241,0.01431127,0.0006878447,0.003044437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009888295,"about_ca_system_score_gemma":0.0001601166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007096857,"about_ca_topic_score_gemma":0.003940564,"domain_scores_codex":[0.9928852,0.0001978416,0.001106341,0.002174546,0.001655666,0.001980456],"domain_scores_gemma":[0.9971089,0.00007815593,0.0005242281,0.00150202,0.0001111337,0.0006755281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000262778,0.0008441276,0.888238,0.0006068508,0.0004930577,0.000442331,0.002115062,0.0004003028,0.000286966,0.0006952116,0.09672628,0.00888903],"study_design_scores_gemma":[0.001538552,0.0004463173,0.8472521,0.0002868247,0.0002995524,0.0000166257,0.009457599,0.001927216,0.0016835,0.001405293,0.1330659,0.002620525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6943321,0.00006393173,0.006393386,0.001206805,0.001002947,0.002110537,0.00009315047,0.00029812,0.294499],"genre_scores_gemma":[0.9030018,0.0003111339,0.0006798485,0.0004976812,0.0002707343,0.0001500327,0.0005579568,0.00009555578,0.09443519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2086698,"threshold_uncertainty_score":0.999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095240994635279,"score_gpt":0.218540346831159,"score_spread":0.2075879368848062,"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."}}