{"id":"W3119959264","doi":"10.14400/jdc.2018.16.11.017","title":"Research Trends Analysis on Port Hinterland Using SNA Method","year":2018,"lang":"en","type":"article","venue":"Journal of Digital Convergence","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Containerization; Port (circuit theory); Viewpoints; Consolidation (business); Social network analysis; Period (music); Business; Container (type theory); Regional science; Economy; Geography; Operations research; Engineering; Computer science; Economics; Social media; Finance; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.001167908,0.00008354105,0.0002146506,0.000901513,0.0001187092,0.0003303336,0.0007195696,0.00003403772,0.00009242859],"category_scores_gemma":[0.00009713813,0.0000623509,0.000180314,0.002016274,0.00007832779,0.000851316,0.00009535945,0.00016587,0.00003524088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007665437,"about_ca_system_score_gemma":0.0001709126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007885358,"about_ca_topic_score_gemma":0.0000102735,"domain_scores_codex":[0.9984359,0.00009770926,0.0004011445,0.0001578074,0.0006886186,0.0002188443],"domain_scores_gemma":[0.9983475,0.0002051768,0.0002603176,0.0002766615,0.000759481,0.0001508313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002794238,0.001570314,0.4347275,0.0000781702,0.005227387,0.0003563747,0.0374326,0.004554715,0.007817597,0.2449327,0.09875109,0.164272],"study_design_scores_gemma":[0.00182341,0.008921887,0.5425428,0.0006707039,0.0005903431,0.00258554,0.003497957,0.152225,0.01929445,0.03230641,0.2334647,0.002076837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7578121,0.0001335714,0.2201096,0.001763742,0.001632786,0.0000371367,0.000008903003,0.00001479352,0.01848746],"genre_scores_gemma":[0.9926924,0.000004006954,0.005022889,0.00007556704,0.0004907815,3.623504e-7,5.068111e-7,0.000003926512,0.001709622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2348803,"threshold_uncertainty_score":0.3185415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111771079937326,"score_gpt":0.437122806783064,"score_spread":0.325351726845738,"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."}}