{"id":"W2942713826","doi":"10.35791/agrsosek.13.3a.2017.18031","title":"EVALUASI PELAKSANAAN PROGRAM PENGEMBANGAN KAWASAN MINAPOLITAN DENGAN MODEL CIPP (CONTEX, INPUT, PROCESS, PRODUCT) DI KOTA BITUNG","year":2017,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Context (archaeology); Product (mathematics); Port (circuit theory); Fishing; Process (computing); Decree; Business; Computer science; Fishery; Engineering; Geography; Mathematics","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":[0.003058549,0.0005570743,0.0002483799,0.000789997,0.001259569,0.003710737,0.0007816543,0.0004176141,0.009267032],"category_scores_gemma":[0.003739653,0.0002370921,0.000353801,0.001456381,0.0007293299,0.002269471,0.003164697,0.001019976,0.001026458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004528135,"about_ca_system_score_gemma":0.01107719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006576307,"about_ca_topic_score_gemma":0.01312014,"domain_scores_codex":[0.9974349,0.001067382,0.0001679948,0.0002306227,0.0007668832,0.0003321046],"domain_scores_gemma":[0.9968224,0.0007701581,0.0003729073,0.0002686304,0.001303307,0.0004625997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001057342,0.003010176,0.1478965,0.005540376,0.0001969427,0.001605796,0.02564003,0.01263878,0.01403831,0.03850841,0.01560819,0.7342592],"study_design_scores_gemma":[0.0002577097,0.004671775,0.3795986,0.003887254,0.0006406896,0.001127284,0.1191847,0.01808074,0.0295281,0.01274103,0.4300559,0.000226278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.813861,0.001682856,0.01879471,0.00307448,0.0001033322,0.002973811,0.001018098,0.0003507128,0.158141],"genre_scores_gemma":[0.9591004,0.001378176,0.01752944,0.0001942872,0.00001104483,0.00144152,0.0006558707,0.00006052397,0.01962854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009267032,"threshold_uncertainty_score":0.03285408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218058553915541,"score_gpt":0.2795280819849893,"score_spread":0.2573474964458339,"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."}}