{"id":"W4327724188","doi":"10.1016/j.datak.2023.102177","title":"Preface","year":2023,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005278856,0.0001883138,0.0001633085,0.00027666,0.00005127506,0.00005538288,0.00111038,0.00005588094,0.0001022839],"category_scores_gemma":[0.0004932985,0.0002056089,0.00002685219,0.001350763,0.00001480266,0.000484533,0.00118068,0.0001933237,0.07904322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006425523,"about_ca_system_score_gemma":0.00003502984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005581916,"about_ca_topic_score_gemma":0.00001493617,"domain_scores_codex":[0.9987156,0.00001645812,0.0001815306,0.0004458585,0.000155256,0.0004853312],"domain_scores_gemma":[0.9982116,0.0001197825,0.00002218718,0.001481107,0.00003459814,0.0001307923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001050046,0.00009812824,0.0006423613,0.0003259493,0.0001578075,0.00007343849,0.001157814,0.002483066,0.09635568,0.002127761,0.8536367,0.04293081],"study_design_scores_gemma":[0.0001363938,0.000004351549,0.002232949,0.00003430223,0.00001097385,0.000003946335,0.00001855423,0.56423,0.0009661793,0.000004327826,0.4321823,0.0001756926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.744258,0.01284252,0.04578496,0.0004553332,0.01537041,0.00295292,0.02368726,0.06649534,0.08815327],"genre_scores_gemma":[0.9419937,0.0001500712,0.01877964,0.000022252,0.003070892,0.0001771851,0.02005663,0.001336509,0.01441318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.561747,"threshold_uncertainty_score":0.9216738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044293387069667,"score_gpt":0.331910048881099,"score_spread":0.2274807101741324,"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."}}