{"id":"W4238567388","doi":"10.1002/cjas.1301","title":"Editorial","year":2014,"lang":"fr","type":"editorial","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008185052,0.003788874,0.003757139,0.006785094,0.004336965,0.01095567,0.004136387,0.01667623,0.04832307],"category_scores_gemma":[0.05677163,0.001195495,0.003082039,0.002775125,0.002685281,0.003799095,0.002750346,0.01411829,0.03139295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006174475,"about_ca_system_score_gemma":0.008223235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004980769,"about_ca_topic_score_gemma":0.01140326,"domain_scores_codex":[0.9906749,0.001488271,0.0008377624,0.0009738984,0.005120512,0.0009046873],"domain_scores_gemma":[0.9650634,0.008207231,0.002936929,0.001469516,0.01693478,0.005388111],"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":[0.000008123757,0.000003524069,0.000007962596,0.00004592793,0.000005525216,0.00003549692,0.00000386183,0.000005111262,0.000007135583,0.00008663969,0.9981418,0.001648874],"study_design_scores_gemma":[0.00005595017,0.00001040454,0.0001171378,0.000336474,0.00003256034,0.0001117584,0.00002591622,0.00003894172,0.00003813342,0.000483033,0.9987391,0.00001050848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002556033,0.00309898,0.00004912539,0.03839207,0.9540853,0.00003428956,0.00007653024,0.00004695685,0.004191236],"genre_scores_gemma":[0.0004782232,0.003175865,0.00009165952,0.02842072,0.9397146,0.00005500755,0.00007782249,0.00005711066,0.02792893],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04832307,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07208022245975829,"score_gpt":0.3318136311354497,"score_spread":0.2597334086756914,"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."}}