{"id":"W4406477415","doi":"10.1016/0967-0653(96)80909-4","title":"10.1016/0967-0653(96)80909-4","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Post-glacial rebound; Glacial period; Tide gauge; Geology; Gauge (firearms); Physical geography; Oceanography; Climatology; Geomorphology; Geography; Sea level; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002055786,0.0001564902,0.0002072054,0.00008843629,0.0001619014,0.0002192537,0.0008216406,0.0000485613,0.9918787],"category_scores_gemma":[0.00002191027,0.0001432594,0.0001157967,0.000609253,0.00002564098,0.0003493711,0.0001712806,0.00009942758,0.9944343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002704998,"about_ca_system_score_gemma":0.00002424138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003661301,"about_ca_topic_score_gemma":3.813953e-7,"domain_scores_codex":[0.9987198,0.0000359057,0.0002358849,0.0003878518,0.0002482654,0.0003723555],"domain_scores_gemma":[0.999082,0.00003731537,0.00004647732,0.000596956,0.00005437603,0.0001829314],"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":[0.000007445451,0.00002268788,8.941322e-8,0.000001934377,0.00001632375,0.000006901022,0.00003707488,0.0003760369,0.00001121948,0.00003191047,0.07190698,0.9275814],"study_design_scores_gemma":[0.00009134704,0.0000989,0.00001343499,0.00001010596,0.00001013767,0.00001166356,8.552081e-7,0.0286884,0.00006664899,0.00003144132,0.9707828,0.0001942312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001053655,0.00005783473,0.0004494823,0.0004818491,0.000002326069,0.0000796957,0.000003277776,0.0002131516,0.998607],"genre_scores_gemma":[0.000207393,1.84598e-7,0.003869821,0.00006861757,0.0001194958,0.000007402157,0.000005209889,0.00001343164,0.9957085],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9273872,"threshold_uncertainty_score":0.5841947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007159308093214263,"score_gpt":0.1649629657134991,"score_spread":0.1578036576202848,"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."}}