{"id":"W2025032035","doi":"10.1145/1629501.1629562","title":"Proudly ITS","year":2009,"lang":"en","type":"article","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Timeline; Documentation; Guard (computer science); Deliverable; Public relations; Library science; Happening; Political science; World Wide Web; Management; Computer science; History","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":[],"category_scores_codex":[0.00147723,0.0007568597,0.0003678834,0.000947689,0.007176729,0.01319831,0.001059954,0.002336694,0.3189132],"category_scores_gemma":[0.008251864,0.0002740486,0.0003663731,0.0008126318,0.001988802,0.004911666,0.005730184,0.005518022,0.1701746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429097,"about_ca_system_score_gemma":0.004447225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007171383,"about_ca_topic_score_gemma":0.01884782,"domain_scores_codex":[0.9968496,0.0006521318,0.00006508528,0.0003653583,0.001415235,0.0006525464],"domain_scores_gemma":[0.9945974,0.0003032096,0.0002534813,0.0003191233,0.00191145,0.002615258],"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":[0.00001791132,0.00002138299,0.0003798321,0.0000355589,0.000002727567,0.0001006763,0.001524425,0.00001315753,0.0001969616,0.006950779,0.9561121,0.0346444],"study_design_scores_gemma":[0.000001945116,0.000009810265,0.000246486,0.00003087227,0.000001507856,0.0001029893,0.001649689,0.00001000278,0.00006356491,0.0005575551,0.9973204,0.000005245596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005411746,0.002095504,0.001670939,0.09361803,0.03419304,0.0001207085,0.0006095165,0.001255321,0.8610252],"genre_scores_gemma":[0.01542452,0.0007611207,0.0005005855,0.01460333,0.00224887,0.00003384938,0.0003413087,0.0003604123,0.9657261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3189132,"threshold_uncertainty_score":0.9714877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2943771104497644,"score_gpt":0.5172347505457623,"score_spread":0.2228576400959978,"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."}}