{"id":"W4388547292","doi":"10.1515/9781805390879-004","title":"Acknowledgments","year":2023,"lang":"en","type":"book-chapter","venue":"Berghahn Books","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004041635,0.0007916677,0.0007834757,0.002607832,0.002371166,0.003345381,0.002060726,0.001031214,0.3459463],"category_scores_gemma":[0.02757111,0.0002830836,0.0004065332,0.001978001,0.0008083347,0.002598296,0.003103411,0.002658705,0.2219931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003499175,"about_ca_system_score_gemma":0.004214885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007115811,"about_ca_topic_score_gemma":0.009791774,"domain_scores_codex":[0.9950336,0.001169623,0.0001969259,0.0005435862,0.002808771,0.0002475928],"domain_scores_gemma":[0.9751711,0.002840556,0.0006406067,0.001462887,0.01702615,0.002858703],"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":[0.00002276188,0.00001214589,0.0003013308,0.00007764496,0.000002512881,0.00008629319,0.0005218675,0.00005548066,0.0001566942,0.007907375,0.9677118,0.02314412],"study_design_scores_gemma":[0.000004640699,0.000004358316,0.0003394978,0.0000924629,0.000002337292,0.000104096,0.0005766646,0.0000489633,0.00007432005,0.001932197,0.996815,0.000005487362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00648065,0.005483888,0.02244866,0.1293056,0.05660332,0.001422668,0.0462284,0.004107959,0.7279189],"genre_scores_gemma":[0.02388801,0.002624858,0.01451133,0.02102406,0.004930525,0.0009306192,0.01868356,0.002590508,0.9108166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6540537,"threshold_uncertainty_score":0.9329282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07772392307382392,"score_gpt":0.3284548789549998,"score_spread":0.2507309558811758,"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."}}