{"id":"W3152272738","doi":"10.29173/iasl8089","title":"Collaboratively Building Digital Libraries: Focus on Local Historical Resources for Educational Use","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Education and Vocational Training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Upload; Thumbnail; World Wide Web; Search engine indexing; Multimedia; Digital library; The Internet; Information retrieval; Resource (disambiguation); Focus (optics); Digital content; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001112052,0.0004206105,0.0004217912,0.001134397,0.001531114,0.003255473,0.001666793,0.0007686045,0.0167691],"category_scores_gemma":[0.002190324,0.0003037065,0.0004621835,0.001982423,0.0004707185,0.003947664,0.005328967,0.0005227784,0.006869173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007063817,"about_ca_system_score_gemma":0.00253894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922829,"about_ca_topic_score_gemma":0.006205169,"domain_scores_codex":[0.9991809,0.0002455951,0.00004731752,0.0001837322,0.0001868017,0.0001557441],"domain_scores_gemma":[0.9981056,0.0003720103,0.00009759239,0.0006258968,0.0002594341,0.0005395337],"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":[0.0006230423,0.002154721,0.01266229,0.001757114,0.00005439597,0.001177899,0.01548616,0.004688068,0.04310386,0.03033214,0.02671243,0.8612479],"study_design_scores_gemma":[0.0003549571,0.001711587,0.02172744,0.0005620971,0.0002243065,0.002451312,0.01580197,0.02478691,0.11014,0.01022266,0.8118238,0.0001930183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3559635,0.001003793,0.2989117,0.001065193,0.0001104067,0.00278576,0.001662632,0.02365322,0.3148438],"genre_scores_gemma":[0.5361338,0.0005754143,0.3887208,0.0002353586,0.0000532698,0.0008549106,0.002265289,0.0008241297,0.07033709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167691,"threshold_uncertainty_score":0.05609828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0825228094890566,"score_gpt":0.3440982259746273,"score_spread":0.2615754164855707,"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."}}