{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154088,0.00102207,0.0004268037,0.003137543,0.0009440392,0.004483966,0.00096925,0.002228075,0.03799104],"category_scores_gemma":[0.01033507,0.0007027528,0.0004875215,0.002303764,0.001058225,0.006500973,0.002551829,0.001470493,0.03156762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009516611,"about_ca_system_score_gemma":0.0008099052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004569997,"about_ca_topic_score_gemma":0.004577294,"domain_scores_codex":[0.9982551,0.0006098606,0.0001853717,0.0001978072,0.0005641202,0.0001877921],"domain_scores_gemma":[0.9947183,0.002362638,0.0004886625,0.001295087,0.0008710159,0.0002644554],"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":[0.0005027966,0.0001021114,0.004629351,0.0007246372,0.00003783789,0.001086192,0.0015807,0.003701662,0.005149911,0.3389836,0.3939453,0.2495559],"study_design_scores_gemma":[0.00001237203,0.00003937653,0.001478592,0.0003969818,0.00001675296,0.0006237082,0.0001887989,0.008301848,0.005345843,0.06835963,0.9151707,0.00006540809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02981421,0.008934456,0.5089985,0.008456425,0.003651157,0.0004188033,0.04258544,0.1384599,0.2586811],"genre_scores_gemma":[0.3782693,0.005824892,0.330133,0.009187311,0.002521581,0.000577794,0.07333564,0.02554767,0.1746029],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03799104,"threshold_uncertainty_score":0.1270927,"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."}}