{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002034063,0.0009755931,0.0006473601,0.00399603,0.002413294,0.003709936,0.001184332,0.0008443161,0.4839282],"category_scores_gemma":[0.01971979,0.0003381301,0.0005571226,0.002760882,0.0005981335,0.002957699,0.002159719,0.002990698,0.3525421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856712,"about_ca_system_score_gemma":0.002505992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005792624,"about_ca_topic_score_gemma":0.006536598,"domain_scores_codex":[0.9990485,0.0001399642,0.00006236473,0.0001400148,0.0005415017,0.00006753358],"domain_scores_gemma":[0.9879357,0.001899104,0.0003285655,0.00110206,0.007667259,0.001067332],"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":[0.00001603743,0.00001279614,0.00005990958,0.00006301624,0.000001128537,0.00001962533,0.00003198967,0.00004782985,0.00009073663,0.00329269,0.9652375,0.03112664],"study_design_scores_gemma":[0.000003316786,0.000008015373,0.0001629351,0.00009549064,0.000001493505,0.00002549307,0.00004945917,0.00003462894,0.0001003274,0.003029274,0.9964851,0.000004401165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001353405,0.007532759,0.02244202,0.03760052,0.2295315,0.001164893,0.02675934,0.003846845,0.6697687],"genre_scores_gemma":[0.004360482,0.003530684,0.006362096,0.006325968,0.02492838,0.0004107586,0.01507188,0.001694633,0.937315],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5160718,"threshold_uncertainty_score":0,"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."}}