{"id":"W4309221922","doi":"10.18356/9789210601405c002","title":"Acknowledgements","year":2022,"lang":"en","type":"book-chapter","venue":"Studies in methods. Series F","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Division (mathematics); Statistics; Summary statistics; Library science; Plan (archaeology); Work (physics); Geography; Computer science; Engineering; Mathematics; Archaeology; Arithmetic","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002077071,0.0003150399,0.000681246,0.0001900885,0.001986579,0.00003082037,0.0003399576,0.0001737479,0.01305831],"category_scores_gemma":[0.001301425,0.0002978334,0.0002067529,0.0001722399,0.001754852,0.0001853504,0.0009308134,0.0005104487,0.0001461684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006864471,"about_ca_system_score_gemma":0.0001681982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007679636,"about_ca_topic_score_gemma":0.005155773,"domain_scores_codex":[0.9977649,0.0004280211,0.0004413032,0.0004605034,0.0004829091,0.000422302],"domain_scores_gemma":[0.9986184,0.0005145576,0.0002059982,0.0003255541,0.000272936,0.00006250808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003518713,0.00002571206,0.0000394157,0.0001160544,0.0007530059,0.00007369726,0.06884322,0.000005345643,9.874163e-7,0.7201161,0.1641944,0.04579682],"study_design_scores_gemma":[0.0001105582,0.00004689033,0.00001202415,0.00006145966,0.00006861849,7.814402e-7,0.01839122,2.709357e-7,0.000001102301,0.08924272,0.8917745,0.0002898209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002984228,0.02542053,0.00003248747,0.001694977,0.007260965,0.0004708328,0.00002904944,0.00008264465,0.9650055],"genre_scores_gemma":[0.000007448763,0.03881099,0.02110585,0.0001384616,0.001097797,0.0001170117,0.00001137286,0.0000447301,0.9386663],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7275801,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136833758700859,"score_gpt":0.4803343478560445,"score_spread":0.3435005891551854,"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."}}