{"id":"W4297021559","doi":"10.32920/ryerson.14636649.v2","title":"Socializing Your WebPAC","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001659909,0.0001567181,0.0001828884,0.0000921083,0.0001690982,0.0004338864,0.002657895,0.0001018112,0.001907277],"category_scores_gemma":[0.000002911617,0.0001510541,0.0001281448,0.0001687144,0.00001066498,0.000393391,0.007854524,0.0004625492,0.00009293966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002979121,"about_ca_system_score_gemma":0.0002289339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002711195,"about_ca_topic_score_gemma":0.00001133946,"domain_scores_codex":[0.9987373,0.00008590564,0.0001695097,0.0005083622,0.0002806243,0.0002182761],"domain_scores_gemma":[0.9990293,0.00002950964,0.0001028272,0.0007594161,0.00001463694,0.00006435843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002272762,0.00007170086,0.001577045,0.0001585943,0.00008156792,0.00005668918,0.004247022,0.0006972786,0.00004970562,0.9340138,0.04486186,0.01418239],"study_design_scores_gemma":[0.0001768439,0.00003801778,0.005126907,0.00002893028,0.00001213232,0.000005857464,0.0005199338,0.02623091,0.0002776942,0.1529256,0.8138682,0.0007888867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01783202,0.001267361,0.07623057,0.02224599,0.00728374,0.0003850227,0.00001921101,0.002072588,0.8726635],"genre_scores_gemma":[0.5696673,0.0002990345,0.301068,0.02764873,0.002688721,0.0002651329,0.0001809059,0.0001095364,0.09807259],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7810882,"threshold_uncertainty_score":0.9990051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04228110970160314,"score_gpt":0.2813804261784274,"score_spread":0.2390993164768243,"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."}}