{"id":"W4399333327","doi":"10.18356/9789210051200c002","title":"Acknowledgements","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in methods. Series F","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009319044,0.0003431324,0.000652792,0.0002097679,0.00008279102,0.00002175104,0.0001311964,0.0002029935,0.001414063],"category_scores_gemma":[0.001751912,0.0003018384,0.0001347318,0.00006465357,0.0001780997,0.00008471525,0.0002948442,0.0003506114,0.000543293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971968,"about_ca_system_score_gemma":0.0000215397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.462329e-7,"about_ca_topic_score_gemma":0.00009569241,"domain_scores_codex":[0.9986084,0.00006005397,0.0005949188,0.0003488097,0.0001991915,0.000188679],"domain_scores_gemma":[0.9984954,0.0007324485,0.0001882871,0.0003558702,0.0001998573,0.00002814258],"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":[0.00002006308,0.00001307818,0.00002425469,0.001689104,0.0004666351,0.0000259231,0.003311989,0.000002013009,0.000002979545,0.8712943,0.0921254,0.03102427],"study_design_scores_gemma":[0.00005482789,0.00001792583,0.000006461622,0.000471552,0.00009100778,0.000002485298,0.0001264424,0.00002044945,0.00001092486,0.5576292,0.4414062,0.0001625405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001672347,0.01225257,0.001577533,0.0002664143,0.005803814,0.0004690812,0.00002860018,0.00017236,0.9794129],"genre_scores_gemma":[0.000004754448,0.001928592,0.2549541,0.00002882167,0.0003943067,0.00003241124,0.0000169809,0.00007053627,0.7425695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3492808,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2368596514918378,"score_gpt":0.5053887672364654,"score_spread":0.2685291157446276,"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."}}