{"id":"W4393961537","doi":"10.1515/9781782048350-003","title":"Acknowledgments","year":2016,"lang":"en","type":"book-chapter","venue":"Boydell and Brewer eBooks","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Haute école Spécialisée de Suisse Occidentale; University of Toronto","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":[],"category_scores_codex":[0.004161914,0.0007970504,0.0007200272,0.002112231,0.002154931,0.002993462,0.001526874,0.0008516975,0.2835472],"category_scores_gemma":[0.01663226,0.0001963715,0.0003577619,0.00171057,0.0006474233,0.00182343,0.003429801,0.002281856,0.1846577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002872124,"about_ca_system_score_gemma":0.005014953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007020293,"about_ca_topic_score_gemma":0.01539329,"domain_scores_codex":[0.9962674,0.0007585572,0.0001414262,0.0005281479,0.002102271,0.0002022424],"domain_scores_gemma":[0.982915,0.001361109,0.0003903001,0.0007016584,0.01143093,0.003200979],"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":[0.00003632609,0.000008883873,0.0002238032,0.0000767225,0.000002183976,0.00007001349,0.0002938478,0.00002280705,0.0003549728,0.0058409,0.9695231,0.02354648],"study_design_scores_gemma":[0.000003146355,0.00000302338,0.0002400273,0.00005543567,0.0000018995,0.00007503457,0.0001570184,0.00001866642,0.000096369,0.0006121119,0.9987343,0.000002957577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00378263,0.007415751,0.01273387,0.1175962,0.1018613,0.0008961163,0.03106835,0.002445706,0.7222],"genre_scores_gemma":[0.01174411,0.002474757,0.007567191,0.01105548,0.005770459,0.0003473649,0.009688343,0.001136815,0.9502155],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7164528,"threshold_uncertainty_score":0.9485598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612693121716662,"score_gpt":0.2725654312772263,"score_spread":0.2364385000600597,"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."}}