{"id":"W4385368179","doi":"10.1515/9781553394242-001","title":"Acknowledgements","year":2016,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Multicultural Socio-Legal Studies","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":[0.0067244,0.0008700681,0.001115448,0.002048305,0.004295269,0.004760431,0.002979698,0.00141415,0.3298352],"category_scores_gemma":[0.03761413,0.0003023816,0.0004195545,0.002306143,0.001359707,0.002034714,0.005032676,0.003499688,0.1481169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01102462,"about_ca_system_score_gemma":0.02232752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.142208,"about_ca_topic_score_gemma":0.1961358,"domain_scores_codex":[0.9911938,0.001240399,0.0003504007,0.0007918029,0.00555621,0.0008674816],"domain_scores_gemma":[0.9551436,0.003322839,0.001011217,0.001689603,0.03160803,0.00722462],"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":[0.00003435617,0.000006258568,0.0003017491,0.0001210112,0.000002898814,0.0001251782,0.001179239,0.00003693223,0.000264042,0.007766744,0.9707546,0.01940686],"study_design_scores_gemma":[0.000003137881,0.000002047271,0.0003116581,0.00007890217,0.000001986991,0.00006854158,0.0005725509,0.00003244642,0.0000556198,0.00076638,0.9981021,0.000004675162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00418919,0.009150952,0.01380852,0.2702126,0.07361456,0.001232366,0.05820959,0.003342354,0.5662399],"genre_scores_gemma":[0.02327191,0.003355686,0.0077812,0.02530912,0.004433898,0.0007489693,0.01828797,0.00230028,0.914511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6701648,"threshold_uncertainty_score":0.9559088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967689233155448,"score_gpt":0.2549124343233057,"score_spread":0.2252355419917512,"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."}}