{"id":"W4412620480","doi":"10.59350/gtta2-n8562","title":"SFU Library Receives .CA Community Investment Program Grant","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Investment (military); Political science; Business; Computer science; Law","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":["insufficient_payload"],"category_scores_codex":[0.003444017,0.0009946901,0.001862919,0.003436297,0.005465668,0.007019908,0.001911591,0.002886262,0.4748611],"category_scores_gemma":[0.01511995,0.0006121656,0.0009340459,0.004015679,0.001136572,0.001940676,0.00511135,0.002305281,0.1972972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01888912,"about_ca_system_score_gemma":0.0711302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5663881,"about_ca_topic_score_gemma":0.6987068,"domain_scores_codex":[0.9939698,0.0004475315,0.0001570875,0.0005816606,0.003565139,0.001278794],"domain_scores_gemma":[0.9792405,0.000931098,0.0003226983,0.001453735,0.009520478,0.008531512],"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":[0.0001109263,0.00006066507,0.0004436577,0.00006144624,0.00001146647,0.00005257245,0.0001075021,0.00004184802,0.00009273002,0.009441167,0.9624456,0.02713048],"study_design_scores_gemma":[0.00004192848,0.00001829993,0.001618618,0.00004876251,0.00001389018,0.00006078491,0.00015484,0.0001806785,0.0001122848,0.0007554808,0.9969814,0.00001297239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002592885,0.001894544,0.001032373,0.04756738,0.00435034,0.0003302762,0.03638275,0.002283539,0.9035659],"genre_scores_gemma":[0.02219885,0.00133059,0.004460652,0.003772847,0.0004739072,0.000139611,0.01866041,0.0009561045,0.9480072],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5663881,"threshold_uncertainty_score":0.872331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282836878683021,"score_gpt":0.3633070188297307,"score_spread":0.2350233309614286,"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."}}