{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005255272,0.0001912058,0.0003300404,0.0004945718,0.00006020706,0.0001422756,0.00181036,0.0000687619,0.000006229683],"category_scores_gemma":[0.000108361,0.0002168939,0.00006142678,0.00125864,0.00004521088,0.002056106,0.0006609205,0.0003163183,0.0000184742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005085955,"about_ca_system_score_gemma":0.001901221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0724761,"about_ca_topic_score_gemma":0.9207874,"domain_scores_codex":[0.9981187,0.0002296938,0.0002938478,0.0004798372,0.0004871398,0.000390811],"domain_scores_gemma":[0.9984972,0.0001009455,0.0002052653,0.0007386698,0.0001531508,0.0003047295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008338408,0.00002313059,0.9977808,0.00001384065,0.00002026188,0.0003259202,0.0001883884,0.000249283,0.0002105598,0.0001242761,0.000003962791,0.001051246],"study_design_scores_gemma":[0.001414755,0.00008316331,0.991502,0.0002279566,0.0000385216,0.00003277091,0.0006457083,0.0001745769,0.0021163,0.00007818437,0.003180236,0.000505792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967885,0.00004752631,0.001938438,0.0001865144,0.0001728971,0.00005963732,0.00001932807,0.00004308265,0.0007440469],"genre_scores_gemma":[0.9980608,0.000006227517,0.0005716934,0.0001260817,0.00002245932,2.712818e-7,0.00001506731,0.00001000995,0.001187377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8483113,"threshold_uncertainty_score":0.9337004,"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."}}