{"id":"W2547825223","doi":"10.1145/2996442.2996443","title":"Hypertext 2016 in Halifax","year":2016,"lang":"en","type":"article","venue":"ACM SIGWEB Newsletter","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypertext; Library science; Computer science; Personalization; Social media; Adaptation (eye); World Wide Web; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005575188,0.001377165,0.001555771,0.002907013,0.00280262,0.01207536,0.001565885,0.002297527,0.1334578],"category_scores_gemma":[0.004851619,0.0004854306,0.0007109549,0.00312831,0.002202841,0.005611609,0.005068018,0.003255317,0.07619443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009110386,"about_ca_system_score_gemma":0.007569998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03228798,"about_ca_topic_score_gemma":0.03526504,"domain_scores_codex":[0.99761,0.0004464419,0.0001792455,0.0005916911,0.0008159195,0.0003567631],"domain_scores_gemma":[0.9957189,0.0007077412,0.0001507147,0.0005037633,0.001216364,0.001702519],"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":[0.0005348769,0.00008778194,0.0009104669,0.0006189849,0.00003065765,0.0007384198,0.0007410795,0.0008461851,0.003352401,0.02433711,0.8291933,0.1386087],"study_design_scores_gemma":[0.0000200189,0.00002817805,0.0008785335,0.0001767188,0.000004115519,0.0001176616,0.0001860772,0.0003812983,0.000837299,0.001687069,0.99567,0.00001300965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03369849,0.2243475,0.02441769,0.07505369,0.1061346,0.000711327,0.02571543,0.01249181,0.4974296],"genre_scores_gemma":[0.03225231,0.03063851,0.005716074,0.002182457,0.00373278,0.000329405,0.0174122,0.002456296,0.9052799],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1334578,"threshold_uncertainty_score":0.4464608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500339594278167,"score_gpt":0.3695372557356726,"score_spread":0.2195032963078559,"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."}}