{"id":"W2745118364","doi":"10.1145/3098954.3104046","title":"Resource Hints in HTML5","year":2017,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; HTML5; Resource (disambiguation); Reputation; World Wide Web; Set (abstract data type); Analytics; Web analytics; The Internet; Data science; Web development; Web intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001645361,0.00002898507,0.00003461717,0.00003133733,0.0001213255,0.0002478225,0.0006600083,0.00002241853,0.00001553974],"category_scores_gemma":[0.00005825687,0.0000249401,0.00001208809,0.00003281406,0.00001168895,0.0003452734,0.0001438475,0.00005192144,0.000102605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001176375,"about_ca_system_score_gemma":0.000006168616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003292117,"about_ca_topic_score_gemma":0.0001505273,"domain_scores_codex":[0.9996671,0.0000114994,0.00004739958,0.0001224338,0.00007062579,0.00008092575],"domain_scores_gemma":[0.9993912,0.00001413622,0.00002621726,0.0005392212,0.000006709748,0.00002250414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001195223,0.00007767654,0.0602736,0.00000857109,0.000006800223,0.00006028433,0.002063673,0.00007487368,0.001948492,0.1678876,0.023409,0.7441775],"study_design_scores_gemma":[0.0006061983,0.00006799649,0.7414909,0.00002808361,0.000001053859,0.0000166766,0.00002096737,0.0515791,0.01035112,0.02536844,0.1702069,0.0002626263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3453905,0.00002771636,0.1536927,0.007872107,0.001040189,0.00009753325,1.816289e-7,0.0002718088,0.4916073],"genre_scores_gemma":[0.9942326,9.208582e-7,0.003325999,0.0002086389,0.00003979508,0.000001290429,5.674242e-8,0.00000144535,0.002189249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7439148,"threshold_uncertainty_score":0.2389758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125577831840111,"score_gpt":0.2571862866969705,"score_spread":0.2359305083785694,"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."}}