{"id":"W1594295046","doi":"","title":"Cold Room을 이용한 모형빙의 재료특성에 관한 실험적 연구","year":2008,"lang":"ko","type":"article","venue":"한국해양공학회지","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Full scale; Geology; Scale model; Marine engineering; Engineering; Climatology; Structural engineering; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077986,0.0005112808,0.0005719403,0.0003574673,0.0009883784,0.0003887926,0.0006707014,0.0005131596,0.007892515],"category_scores_gemma":[0.0007843915,0.0002747403,0.0003454679,0.0002877728,0.0006724329,0.001098311,0.0006392694,0.0005242489,0.001688619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299058,"about_ca_system_score_gemma":0.0005403921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558783,"about_ca_topic_score_gemma":0.005606595,"domain_scores_codex":[0.9995309,0.00004950547,0.00003029235,0.0001161413,0.0002188064,0.00005437133],"domain_scores_gemma":[0.999018,0.0001689099,0.0001111416,0.0001831097,0.0004030142,0.0001158347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007554083,0.0006823803,0.009083544,0.0003621161,0.00002538946,0.000148223,0.0001679366,0.004528002,0.9481312,0.0006470019,0.001476736,0.03399205],"study_design_scores_gemma":[0.0001628516,0.01416107,0.07014531,0.0000972183,0.00008568789,0.000290827,0.00137544,0.01090183,0.8770823,0.001425436,0.02416312,0.0001088083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034563,0.0003562698,0.07537346,0.0002084884,0.000213178,0.001151484,0.001180409,0.000422486,0.01763797],"genre_scores_gemma":[0.9314763,0.000491107,0.0489407,0.0002467146,0.00005817888,0.0009723232,0.001419551,0.0001340828,0.01626107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007892515,"threshold_uncertainty_score":0.02640313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630404402696454,"score_gpt":0.2277709094532084,"score_spread":0.2114668654262438,"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."}}