{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004273734,0.0006633726,0.0006820793,0.002051017,0.002563742,0.003218579,0.00214934,0.0009495649,0.354427],"category_scores_gemma":[0.02280126,0.0002473083,0.0003995807,0.001735362,0.0007059577,0.001736028,0.003048562,0.002274232,0.2021958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004042518,"about_ca_system_score_gemma":0.006131118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710582,"about_ca_topic_score_gemma":0.02922461,"domain_scores_codex":[0.9956915,0.0008944521,0.0001649991,0.0004287527,0.002528284,0.00029205],"domain_scores_gemma":[0.9713215,0.002342445,0.0004713918,0.001287679,0.0209892,0.003587802],"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":[0.00002026441,0.000008788112,0.0002674016,0.00005063826,0.000001812091,0.00006324478,0.0003843629,0.00003254501,0.0001383865,0.003457649,0.9751003,0.02047456],"study_design_scores_gemma":[0.000005461374,0.000005254466,0.0004267146,0.00008407619,0.000002281721,0.0000887456,0.0005841131,0.00002854841,0.00006342186,0.0009290726,0.9977776,0.000004659428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00619815,0.004129848,0.01599184,0.1522525,0.07347588,0.001607616,0.06455777,0.003842865,0.6779436],"genre_scores_gemma":[0.01977526,0.001712389,0.0114951,0.02339322,0.004338703,0.0008775992,0.01746572,0.00184134,0.9191007],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.645573,"threshold_uncertainty_score":0.9208314,"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."}}