{"id":"W4415206730","doi":"10.5194/tc-19-4555-2025","title":"TICOI: an operational Python package to generate regular glacier velocity time series","year":2025,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Glacier; Python (programming language); GNSS applications; Robustness (evolution); Decorrelation; Inversion (geology); Time series","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008602943,0.001780786,0.0006868309,0.001186866,0.0004312139,0.001119696,0.002175722,0.000565588,0.02872075],"category_scores_gemma":[0.003512545,0.0006815032,0.001480631,0.001339842,0.000493797,0.001198324,0.001601808,0.001748765,0.01369068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005006856,"about_ca_system_score_gemma":0.001628098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008158478,"about_ca_topic_score_gemma":0.0106416,"domain_scores_codex":[0.9996588,0.00003825786,0.00003250149,0.00008996855,0.0001311076,0.00004934668],"domain_scores_gemma":[0.9993775,0.0002313674,0.00006537945,0.0001095581,0.0001589999,0.0000571285],"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":[0.0007504772,0.0003489917,0.01033492,0.002290695,0.0007792007,0.0007822471,0.0005247223,0.08534645,0.01233969,0.009167125,0.7086992,0.1686362],"study_design_scores_gemma":[0.0004457959,0.0001042455,0.009421856,0.0001641384,0.00008873605,0.0003342226,0.0001263288,0.7579741,0.01894847,0.01529255,0.1968802,0.0002193601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01161188,0.0001752838,0.2598144,0.0002894871,0.0002685646,0.0003928611,0.1184046,0.6041234,0.004919567],"genre_scores_gemma":[0.1134555,0.0005280828,0.4357498,0.0007329599,0.0001649692,0.00267897,0.3233657,0.1152501,0.008073904],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02872075,"threshold_uncertainty_score":0.09608054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159073879052385,"score_gpt":0.219351454964798,"score_spread":0.2077607161742741,"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."}}