{"id":"W4254436091","doi":"10.1360/n072016-00041","title":"南大洋海底地形对冰山运动与搁浅的影响","year":2017,"lang":"zh","type":"article","venue":"SCIENTIA SINICA Terrae","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Materials science","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":[0.001599655,0.0007212493,0.0004830145,0.001577253,0.001837117,0.005836183,0.001028265,0.001265972,0.01888675],"category_scores_gemma":[0.003419833,0.0004987293,0.0006476075,0.002256823,0.002045468,0.009004505,0.001875866,0.001696379,0.005750121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143669,"about_ca_system_score_gemma":0.003230236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008575303,"about_ca_topic_score_gemma":0.009282555,"domain_scores_codex":[0.9986154,0.0002722082,0.00006974383,0.0003151344,0.000530112,0.0001973959],"domain_scores_gemma":[0.9984537,0.0003351266,0.000103931,0.0001202148,0.0008514296,0.0001356196],"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":[0.0005327728,0.0001968059,0.03142519,0.00265571,0.0002141734,0.0009436273,0.008103639,0.02195471,0.01193056,0.2995124,0.07800752,0.5445229],"study_design_scores_gemma":[0.0001267846,0.0002876583,0.04321009,0.0008728714,0.0003941441,0.001708989,0.02273474,0.0539107,0.01988375,0.2170643,0.6394386,0.0003673981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1742062,0.01767524,0.1578787,0.01498312,0.001638908,0.0004264356,0.003424096,0.002557857,0.6272095],"genre_scores_gemma":[0.8681245,0.01020657,0.04684481,0.001384203,0.0004550673,0.000394421,0.001782986,0.0004034826,0.070404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01888675,"threshold_uncertainty_score":0.06318247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06020984632618153,"score_gpt":0.2810627481483654,"score_spread":0.2208529018221839,"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."}}