{"id":"W4385534065","doi":"10.1515/9780773576193-002","title":"Acknowledgments","year":2006,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Legal case studies and regulations","field":"Social Sciences","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0001144445,0.0003059708,0.0003442562,0.0001520104,0.002163083,0.00004609685,0.0003913587,0.0004611037,0.0001632914],"category_scores_gemma":[0.00001089892,0.0003357637,0.0002818087,0.00001751694,0.0005777603,0.0001138175,0.0003602366,0.0003397923,0.00006003701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005142897,"about_ca_system_score_gemma":0.0001000349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008256523,"about_ca_topic_score_gemma":0.00005931311,"domain_scores_codex":[0.9984212,0.00006942973,0.0001799085,0.0004407413,0.0004904885,0.0003982523],"domain_scores_gemma":[0.9989553,0.00006729369,0.0001962076,0.0003271446,0.0002794149,0.0001746237],"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":[0.00001410738,0.00001228304,0.000002286656,0.00001937835,0.0001161926,0.00009333642,0.0003117728,0.000006853416,3.541942e-7,0.9312639,0.06751295,0.0006465989],"study_design_scores_gemma":[0.0003034694,0.00002147914,0.00001158899,0.00007944153,0.000182866,2.714987e-7,0.0001553432,0.000001252952,0.000007301809,0.001138575,0.9977162,0.0003821455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002116589,0.000004794152,0.0000166843,0.0003080358,0.0004954102,0.0004219811,0.0003698953,0.0001917857,0.9981893],"genre_scores_gemma":[0.001342687,0.0001613637,0.00006731966,0.00005247858,0.0003809852,9.204463e-7,0.0000368026,0.00003525887,0.9979222],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9302033,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003361289353356,"score_gpt":0.2360952412712918,"score_spread":0.2160616283777582,"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."}}