{"id":"W3027864066","doi":"10.1145/3377939","title":"Story Forest","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Knowledge Discovery from Data","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Timeline; Computer science; Event (particle physics); Information retrieval; The Internet; Novelty; World Wide Web; Cluster analysis; Set (abstract data type); News aggregator; Graph; Data science; Artificial intelligence; History","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0001210553,0.0002262196,0.000257621,0.000106143,0.0002176148,0.0002156184,0.005876232,0.0000758915,0.00005461461],"category_scores_gemma":[0.0001133996,0.0002197622,0.0001137857,0.0006317184,0.00007222089,0.003915032,0.0003020019,0.0003907169,0.0004892565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005866664,"about_ca_system_score_gemma":0.0001077944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003863608,"about_ca_topic_score_gemma":0.0002811239,"domain_scores_codex":[0.9981965,0.00009602082,0.0002393066,0.0009877858,0.0002320595,0.0002483482],"domain_scores_gemma":[0.995061,0.0003462591,0.00007550845,0.00430856,0.00004851175,0.0001601719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001185077,0.001511925,0.0006964733,0.00005939703,0.000684283,0.0000717228,0.003272465,0.001935378,0.005527878,0.0104373,0.04901138,0.9266733],"study_design_scores_gemma":[0.002612652,0.0008706229,0.004697907,0.0002544108,0.0006033848,0.0000112368,0.0005607742,0.2985135,0.04590346,0.06312782,0.5796736,0.003170673],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001281829,0.0003572182,0.9932447,0.003050372,0.0002207741,0.0001441147,0.000643295,0.0005813295,0.000476389],"genre_scores_gemma":[0.8561631,0.0001285432,0.1419536,0.0007959017,0.0001525868,0.00002994107,0.0003889267,0.00003012964,0.0003573156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9235026,"threshold_uncertainty_score":0.9995025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664237805374586,"score_gpt":0.3114345391788544,"score_spread":0.2447921611251086,"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."}}