{"id":"W6913241076","doi":"10.5683/sp3/t7itrm","title":"Replication Data for: Searches as data: Archiving and sharing search strategies using an institutional data repository","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Download; Column (typography); Replication (statistics); Raw data; Data collection; Data access","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007849444,0.001817967,0.001572442,0.01059394,0.002104482,0.006986313,0.004065403,0.001839006,0.1156263],"category_scores_gemma":[0.07239848,0.001261927,0.001704422,0.01995707,0.001074634,0.004724065,0.004765083,0.002587797,0.1697354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003705536,"about_ca_system_score_gemma":0.01266423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06715085,"about_ca_topic_score_gemma":0.1008942,"domain_scores_codex":[0.9880874,0.002324948,0.002722628,0.002374013,0.003610482,0.0008805701],"domain_scores_gemma":[0.9487985,0.008081358,0.003078925,0.02139853,0.01630089,0.002341768],"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":[0.00007937053,0.00002093445,0.0009374383,0.0004869078,0.0000269725,0.00001533177,0.0001621345,0.0001055433,0.0001884275,0.001041044,0.9922408,0.004695169],"study_design_scores_gemma":[0.0001287066,0.00001953793,0.005014592,0.0003609899,0.00003269982,0.00004061358,0.0004149198,0.000302667,0.0007252535,0.002141379,0.9907357,0.00008297213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002907923,0.00004799059,0.0003949547,0.0001738743,0.00006154338,0.0001112707,0.9940537,0.001480768,0.003385174],"genre_scores_gemma":[0.001089065,0.00004553705,0.001846881,0.00007334823,0.000014368,0.0005760085,0.9935684,0.0007608024,0.002025627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1156263,"threshold_uncertainty_score":0.3868085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4128323146612202,"score_gpt":0.4483643768287883,"score_spread":0.03553206216756816,"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."}}