{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004745006,0.0003339626,0.0003287616,0.001533406,0.0008529575,0.00222845,0.0004640051,0.0002490477,0.005240241],"category_scores_gemma":[0.001004569,0.0001594494,0.0003646448,0.003327562,0.0005592725,0.000840605,0.001100461,0.0004943464,0.001092959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296826,"about_ca_system_score_gemma":0.001793222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03975801,"about_ca_topic_score_gemma":0.09985236,"domain_scores_codex":[0.9993692,0.0001019082,0.00005329957,0.00009715747,0.0002713834,0.0001070581],"domain_scores_gemma":[0.9991252,0.0001806194,0.000144741,0.00004605669,0.0004208074,0.00008269446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001612667,0.0001218549,0.8255494,0.0009690432,0.0001700539,0.002019148,0.01818667,0.001502879,0.006862717,0.004264048,0.006931181,0.1332619],"study_design_scores_gemma":[0.000002299953,0.00004102693,0.8981727,0.0001998581,0.00006170101,0.0004333347,0.05132717,0.0009422841,0.001867256,0.0005269618,0.04640666,0.00001881397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928139,0.001508317,0.0016574,0.0005055642,0.00003639698,0.0000937788,0.003153808,0.00005809418,0.0648477],"genre_scores_gemma":[0.9723354,0.001415628,0.002558483,0.00009399333,0.000009338686,0.00009472998,0.001860716,0.00004065421,0.02159091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03975801,"threshold_uncertainty_score":0.07905316,"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."}}