{"id":"W3093354771","doi":"10.1007/s42803-021-00032-5","title":"‘Go fish’: Conceptualising the challenges of engaging national web archives for digital research","year":2021,"lang":"en","type":"article","venue":"International Journal of Digital Humanities","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"ESRC National Centre for Research Methods, University of Southampton; Economic and Social Research Council; UK Research and Innovation; Social Sciences and Humanities Research Council of Canada; University of Southampton; Aarhus Universitet","keywords":"World Wide Web; Context (archaeology); Scholarship; Web 2.0; Sociology; Computer science; Web service; Political science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005268804,0.00008553977,0.0001597537,0.0003069433,0.0001471114,0.001324576,0.001310039,0.00001993327,0.00001176479],"category_scores_gemma":[0.000900753,0.00006525098,0.0001994271,0.0001068912,0.0003122196,0.00198047,0.0003479861,0.0002041522,0.000002514344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004056858,"about_ca_system_score_gemma":0.0003430837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.385615e-7,"about_ca_topic_score_gemma":0.000004207615,"domain_scores_codex":[0.9980853,0.00006918749,0.0004292024,0.000147871,0.001114864,0.0001535657],"domain_scores_gemma":[0.9956972,0.00198488,0.0002643038,0.0001453434,0.001875255,0.0000330378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004382542,0.0002551678,0.000400884,0.00003344217,0.0007603269,0.00007372645,0.01320866,0.000185119,0.0004679915,0.9224088,0.008405984,0.0537561],"study_design_scores_gemma":[0.003594053,0.0009117801,0.002695572,0.001910622,0.00007441601,0.001639006,0.1145495,0.01672509,0.01314274,0.4917134,0.3521523,0.0008914574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3628291,0.02411347,0.1194446,0.08231595,0.005403898,0.0004614955,0.00376826,0.0001648185,0.4014984],"genre_scores_gemma":[0.9976146,0.0001356489,0.0008482957,0.0001511678,0.0005111528,0.000002360155,0.00002153869,0.00000700795,0.000708237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6347855,"threshold_uncertainty_score":0.9997122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1845535825460962,"score_gpt":0.3625338833797037,"score_spread":0.1779803008336076,"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."}}