{"id":"W3000991633","doi":"","title":"Library Services: Tech Help & Tech Borrowing: Guelph Welcome Centre","year":2017,"lang":"en","type":"article","venue":"","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"High tech; Business; Telecommunications; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007143772,0.0009535812,0.0005548259,0.001349065,0.00436371,0.005841257,0.0007930536,0.003131032,0.7234695],"category_scores_gemma":[0.003082081,0.000563793,0.0002835215,0.001385102,0.0007798612,0.002292248,0.002719678,0.002164916,0.4048997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003109985,"about_ca_system_score_gemma":0.01038135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03770469,"about_ca_topic_score_gemma":0.1419395,"domain_scores_codex":[0.9993,0.00005170642,0.00002213347,0.0001700864,0.0002593141,0.0001966756],"domain_scores_gemma":[0.9962106,0.0003009164,0.00009117291,0.0001323869,0.001037307,0.002227555],"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":[0.00005860944,0.00002534152,0.000229137,0.0001018313,0.000001737532,0.0002465237,0.0001841975,0.00002558982,0.0005376163,0.002383515,0.9556864,0.04051947],"study_design_scores_gemma":[0.000006316091,0.00001260307,0.0005863809,0.00003932955,0.000001248062,0.00005822373,0.0002551594,0.00002504286,0.00021709,0.0001565127,0.9986365,0.000005543846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004538877,0.002133773,0.0005289612,0.03011346,0.004580287,0.0002266197,0.004720298,0.002285593,0.9508722],"genre_scores_gemma":[0.002300935,0.0002818359,0.0001315766,0.0004457175,0.00008662761,0.00001069854,0.0002218272,0.0001957761,0.996325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7234695,"threshold_uncertainty_score":0.3944372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009832943974538636,"score_gpt":0.2136600906536653,"score_spread":0.2038271466791267,"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."}}