{"id":"W3193697788","doi":"10.1007/978-3-030-86324-1_9","title":"Where Did the Web Archive Go?","year":2021,"lang":"en","type":"preprint","venue":"Lecture notes in computer science","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"","keywords":"World Wide Web; Sample (material); Computer science; Web page; Code (set theory); 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":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001516802,0.0004365907,0.000503761,0.0004479667,0.0004272021,0.002922146,0.009344541,0.0001793552,0.00001450115],"category_scores_gemma":[0.0002822129,0.000304958,0.0002362619,0.00266219,0.0006958935,0.0005134086,0.0113355,0.001510198,0.00002882425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342237,"about_ca_system_score_gemma":0.001371011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002025544,"about_ca_topic_score_gemma":0.0008980446,"domain_scores_codex":[0.9953949,0.0002959887,0.0004576588,0.00205274,0.001041773,0.0007569813],"domain_scores_gemma":[0.9950984,0.0007778042,0.0002479323,0.00351674,0.0001996673,0.0001594469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002463556,0.0001115092,0.002322821,0.0000971037,0.00005281229,0.0002090613,0.006017265,0.306314,0.0009474295,0.0006369844,0.0004272608,0.6828613],"study_design_scores_gemma":[0.0001072692,0.0000299144,0.001252813,0.0003880154,0.00001344813,0.00004308867,0.000002975363,0.9872886,0.001045728,0.008869788,0.0005311954,0.0004271926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009540479,0.001270389,0.9799912,0.006613729,0.002167649,0.0001731129,0.00001559615,0.0001536821,0.00007417909],"genre_scores_gemma":[0.5892488,0.0001431072,0.4088973,0.001295931,0.0003670578,0.0000186286,0.00001428877,0.00001115447,0.000003757802],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6824341,"threshold_uncertainty_score":0.9999403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452373505298433,"score_gpt":0.252795443556125,"score_spread":0.2382717085031407,"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."}}