{"id":"W4226055589","doi":"10.5194/tc-15-5601-2021","title":"A probabilistic model for fracture events of Petermann ice islands under the influence of atmospheric and oceanic conditions","year":2021,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Centre For Cold Ocean Resources Engineering; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Climatology; Fracture (geology); Submarine pipeline; Sea ice; Arctic ice pack; Arctic; Oceanography; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259878,0.0001237143,0.0001992949,0.000001442383,0.0003061939,0.00001850966,0.0002026388,0.00005168573,0.0003463585],"category_scores_gemma":[0.00004698632,0.00007265752,0.00008132016,0.000248321,0.0001765308,0.00008953135,0.00003028353,0.0001027527,0.000003545075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004137137,"about_ca_system_score_gemma":0.0001092534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003471917,"about_ca_topic_score_gemma":0.004653126,"domain_scores_codex":[0.9991525,0.00004029962,0.0002581851,0.000188307,0.0001749306,0.0001857716],"domain_scores_gemma":[0.9988427,0.0004919668,0.0001553022,0.0002862942,0.0001844032,0.00003939995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004203758,0.00005892893,0.1352693,0.0001708953,0.0001506289,0.00000136667,0.001769043,0.8580278,0.0000484742,0.0008824057,0.002789168,0.0007899687],"study_design_scores_gemma":[0.000261837,0.00005478578,0.7884635,0.00003251416,0.00009110594,0.000006654617,0.001103668,0.2001679,0.000003855402,0.008187157,0.00153282,0.00009418654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941132,0.00194001,0.002412469,0.0005961921,0.00006562861,0.0003503029,0.0002489896,0.00001152287,0.0002616965],"genre_scores_gemma":[0.9973817,0.0001439978,0.000820987,0.0006942931,0.00003067102,0.000011172,0.00005135095,0.000005126077,0.0008606403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6578599,"threshold_uncertainty_score":0.3792383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496251945964197,"score_gpt":0.2305867108148351,"score_spread":0.2156241913551931,"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."}}