{"id":"W6925540465","doi":"10.17632/x8xr9mwcbh","title":"Data for: RADARSAT-2 DInSAR and GNSS-derived finite fault model of the 2012 Mw 7.8 Haida Gwaii earthquake.","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fault (geology); Fault model; Interferometric synthetic aperture radar; Scale (ratio); 3d model","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":[0.0006098801,0.001093159,0.0007393961,0.001543417,0.0004451855,0.0008121154,0.001857921,0.001072302,0.02981235],"category_scores_gemma":[0.001948734,0.0004845345,0.0006729127,0.002921516,0.0002491617,0.0007621803,0.0008598157,0.00094277,0.03747401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113972,"about_ca_system_score_gemma":0.001474757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03506435,"about_ca_topic_score_gemma":0.06332894,"domain_scores_codex":[0.9996607,0.00004551838,0.00004290066,0.0001005748,0.00009147803,0.00005881444],"domain_scores_gemma":[0.9993753,0.00009309774,0.0000962436,0.0001592128,0.0002059584,0.00007015312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001268633,0.00005419122,0.004419806,0.0007651254,0.00009232313,0.00006091604,0.00003747549,0.001257798,0.0003813276,0.0006473663,0.9880073,0.004149498],"study_design_scores_gemma":[0.0005691944,0.00003488365,0.03709059,0.0003322141,0.00008028164,0.0001130516,0.0001700675,0.002139734,0.001199685,0.001379119,0.9568332,0.0000579938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003938237,0.00002416752,0.00005185773,0.00002694544,0.000008904648,0.000006268292,0.9990941,0.0001061738,0.00028781],"genre_scores_gemma":[0.001097272,0.00001768681,0.0002259509,0.00001473457,0.000003232014,0.00003051868,0.9983025,0.00002454493,0.0002835341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9649357,"threshold_uncertainty_score":0.09973222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115923745668427,"score_gpt":0.278549542814951,"score_spread":0.1669571682481083,"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."}}