{"id":"W2914336853","doi":"","title":"Proceedings of the 25th International Conference Companion on World Wide Web","year":2016,"lang":"en","type":"article","venue":"","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université TÉLUQ","funders":"","keywords":"Computer science; World Wide Web; Track (disk drive); Social media; Consistency (knowledge bases); Personalization; Data science","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":["bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004045293,0.002011018,0.002637385,0.00366895,0.00214174,0.01215866,0.002845448,0.003231829,0.3732902],"category_scores_gemma":[0.01318476,0.0007491847,0.00116788,0.003737449,0.001024879,0.01308363,0.0046015,0.004511356,0.3261321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404464,"about_ca_system_score_gemma":0.002008325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599895,"about_ca_topic_score_gemma":0.002759334,"domain_scores_codex":[0.9965414,0.0006257736,0.0003657984,0.0006989805,0.001456064,0.0003119332],"domain_scores_gemma":[0.98714,0.002274993,0.0005266764,0.00190415,0.005273675,0.002880516],"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":[0.000036656,0.00004069109,0.0001161244,0.0002396446,0.00001577173,0.00005550839,0.00004821963,0.00003098719,0.0004482743,0.001239331,0.9284275,0.06930127],"study_design_scores_gemma":[0.000006721706,0.00002165374,0.0002659271,0.000136034,0.000009571089,0.0001227825,0.00006144298,0.0001158063,0.0001354561,0.001029434,0.9980823,0.00001299533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003410123,0.08737819,0.04582801,0.03320898,0.3490963,0.000955713,0.01126175,0.01396407,0.4548968],"genre_scores_gemma":[0.006677059,0.03485217,0.01050699,0.007188153,0.03742202,0.0004536329,0.01836708,0.003913275,0.8806196],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.996331,"threshold_uncertainty_score":0.8939255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292695870229426,"score_gpt":0.2489200469134581,"score_spread":0.2159930882111639,"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."}}