{"id":"W4406485409","doi":"10.1016/0967-0653(96)82968-1","title":"10.1016/0967-0653(96)82968-1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Glacier; Heuristic; Sea level rise; Future sea level; Geology; Physical geography; Environmental science; Computer science; Climatology; Oceanography; Geomorphology; Climate change; Geography; Cryosphere; Artificial intelligence; Sea ice; Ice stream","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001018662,0.002641155,0.001778875,0.002386626,0.002457226,0.003575529,0.003045852,0.005153669,0.9905494],"category_scores_gemma":[0.001502625,0.00113061,0.001296717,0.00221035,0.002105708,0.00515541,0.002948845,0.002768638,0.9942379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101792,"about_ca_system_score_gemma":0.0008060472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004929866,"about_ca_topic_score_gemma":0.004351033,"domain_scores_codex":[0.9994862,0.00003500999,0.00004205339,0.0001965283,0.0001220378,0.0001181601],"domain_scores_gemma":[0.9981614,0.0004153052,0.0001001875,0.0002323882,0.0004348395,0.0006559487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003708732,0.0002436887,0.001099782,0.0005347127,0.00003773678,0.0002630635,0.0001081833,0.000410482,0.002499457,0.004586383,0.4649856,0.5248601],"study_design_scores_gemma":[0.00006024621,0.0001158156,0.001026939,0.0003418431,0.00001335644,0.0002885254,0.000137961,0.0001634585,0.0002993761,0.0005506372,0.9969765,0.00002527354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004436685,0.0002920135,0.0004652211,0.0003779966,0.000286476,0.0001160092,0.001033473,0.0008122593,0.996173],"genre_scores_gemma":[0.0005590487,0.000172737,0.0002571067,0.0002241203,0.0000719551,0.00005060415,0.000439647,0.0001371831,0.9980875],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009450614,"threshold_uncertainty_score":0.01348013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055760418572207,"score_gpt":0.1645802747234008,"score_spread":0.1540226705376787,"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."}}