{"id":"W6987236217","doi":"","title":"Snapshot of Web harvesting in Canada","year":2015,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ephemeral key; Snapshot (computer storage); Web page; Web development; Web standards; Digital preservation; Web Accessibility Initiative; Web navigation; Web 2.0","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":[0.001210872,0.0004426628,0.0005516447,0.0124874,0.01344073,0.007803977,0.001823799,0.0008136391,0.03380957],"category_scores_gemma":[0.00329179,0.0005567244,0.0005598099,0.02345278,0.001547795,0.001517444,0.002183424,0.001299015,0.006962332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06782395,"about_ca_system_score_gemma":0.1191872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903915,"about_ca_topic_score_gemma":0.9958872,"domain_scores_codex":[0.9969223,0.00006881626,0.0000934434,0.0001920431,0.002141832,0.0005816434],"domain_scores_gemma":[0.9922982,0.0002254645,0.0001840484,0.0002713569,0.005903958,0.001117063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003359948,0.0001961771,0.06145979,0.0009907025,0.0001226785,0.002207306,0.008630185,0.001093922,0.003199345,0.01994236,0.6498076,0.2520139],"study_design_scores_gemma":[0.000009760282,0.00002285331,0.1390726,0.0003575563,0.00002866086,0.0002102588,0.009044248,0.0003993934,0.001070608,0.0007907744,0.8489223,0.00007095784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1343842,0.009143306,0.00299201,0.01285134,0.001528644,0.0008951877,0.1179965,0.002738758,0.71747],"genre_scores_gemma":[0.2779009,0.0145252,0.008903767,0.003454707,0.0001772667,0.0003181117,0.05599907,0.001305909,0.6374151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06782395,"threshold_uncertainty_score":0.4920995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342788109565897,"score_gpt":0.2926737398953594,"score_spread":0.1583949289387697,"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."}}