{"id":"W2753808586","doi":"","title":"Report on the Scottish term and quarter days","year":2016,"lang":"en","type":"article","venue":"Books  | UK Encyclopedia of Law","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Term (time); History; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001781127,0.0001131209,0.0001914048,0.00008034224,0.000127292,0.00007147827,0.0003079277,0.00005856755,0.0001868173],"category_scores_gemma":[0.000531545,0.00005177068,0.00008000489,0.00009446774,0.000221497,0.0001303641,0.00005411192,0.00006246924,0.00005957337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006480258,"about_ca_system_score_gemma":0.00002251231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001177815,"about_ca_topic_score_gemma":0.0001509711,"domain_scores_codex":[0.9979946,0.000094014,0.0005813948,0.0003722085,0.000787663,0.0001701012],"domain_scores_gemma":[0.9976373,0.001204427,0.0002730996,0.0006826693,0.0001316162,0.00007092584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001167219,0.0001118078,0.0985951,0.00001398023,0.00005908427,0.000116317,0.001549873,0.000004830521,0.001280753,0.6245125,0.06142963,0.2122094],"study_design_scores_gemma":[0.001157811,0.0004728491,0.1626751,0.0003306111,0.00006960277,0.0001568484,0.0005627979,0.0001111135,0.0007130146,0.5013145,0.3318288,0.0006068838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5460732,0.00004754059,0.0005657972,0.002016895,0.0002691616,0.0001286782,0.00001183358,0.00002407564,0.4508629],"genre_scores_gemma":[0.9911771,0.0001271782,0.000164828,0.0004236171,0.00007563966,0.00001256698,0.000001331137,0.000008287758,0.008009433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4451039,"threshold_uncertainty_score":0.2111147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05952228623187075,"score_gpt":0.3192988507715424,"score_spread":0.2597765645396717,"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."}}