{"id":"W4214570776","doi":"10.1016/b978-1-4160-4271-6.50003-4","title":"List of Contributors","year":2008,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"History; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009057813,0.0009759501,0.001126183,0.00670884,0.00178417,0.004979779,0.001702932,0.00138758,0.7850587],"category_scores_gemma":[0.006048689,0.000375223,0.0005772169,0.004781351,0.0002860561,0.003470032,0.002291564,0.001393239,0.7472282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481545,"about_ca_system_score_gemma":0.002467255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002802102,"about_ca_topic_score_gemma":0.005914491,"domain_scores_codex":[0.999172,0.00009577104,0.00004616624,0.0001396811,0.0004480724,0.00009827565],"domain_scores_gemma":[0.9960741,0.0003862132,0.0001346434,0.0003753267,0.002174491,0.000855261],"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":[0.000009129376,0.00001165427,0.00007861301,0.00009969673,0.000001769672,0.00001934647,0.00001830119,0.0000330585,0.00008702448,0.001621723,0.9548205,0.04319912],"study_design_scores_gemma":[0.000002217768,0.00000466665,0.000186959,0.0001181912,0.000002229171,0.0000301517,0.0000269126,0.00003455548,0.00005784427,0.0006600878,0.9988726,0.000003632457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000760223,0.005708382,0.002298377,0.006309115,0.02492413,0.0003564878,0.02088183,0.002559557,0.9362018],"genre_scores_gemma":[0.00069794,0.001566723,0.000666956,0.0005917141,0.001034112,0.00008305955,0.004816583,0.0004673609,0.9900756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2149413,"threshold_uncertainty_score":0.3065877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288785476480604,"score_gpt":0.1958211088858533,"score_spread":0.1629332541210473,"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."}}