{"id":"W1881926698","doi":"10.1108/cb.2000.19.2.78.1","title":"Multicultural Resources on the Internet: The United States and Canada","year":2000,"lang":"en","type":"article","venue":"Collection Building","topic":"Web and Library Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Multiculturalism; The Internet; Library science; Political science; Media studies; World Wide Web; Sociology; Computer science; Law","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00176007,0.0003038736,0.0006303618,0.003563029,0.02128701,0.008602964,0.00170127,0.000996294,0.009085394],"category_scores_gemma":[0.005976247,0.0004386093,0.0004599142,0.01107904,0.002870805,0.002718246,0.004102617,0.001623422,0.0004722974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1063839,"about_ca_system_score_gemma":0.1915612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989067,"about_ca_topic_score_gemma":0.9997489,"domain_scores_codex":[0.9967839,0.0002808833,0.00009432634,0.0002054914,0.001235358,0.001400089],"domain_scores_gemma":[0.9897417,0.0006767323,0.0005284608,0.000152654,0.004714969,0.004185503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00069343,0.0005725994,0.5455936,0.0005342489,0.0002600943,0.001942778,0.1032867,0.001542713,0.0006841426,0.04562788,0.09580481,0.2034571],"study_design_scores_gemma":[0.00004215902,0.00006143421,0.6681086,0.000481374,0.0001593383,0.0003048923,0.2145111,0.0008180899,0.0004952941,0.00148826,0.1134082,0.0001213577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887404,0.006959406,0.0002376451,0.0136903,0.0001222919,0.0001161117,0.002320775,0.00005135277,0.08909804],"genre_scores_gemma":[0.9666826,0.004243026,0.0003504878,0.001463105,0.0000174187,0.00002731697,0.0006607543,0.00003755378,0.02651777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.991397,"threshold_uncertainty_score":0.7718727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00817405225113415,"score_gpt":0.1893895147940812,"score_spread":0.181215462542947,"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."}}