{"id":"W255596203","doi":"10.29173/slw6949","title":"Using Internet Metasites to Foster Teenage Girls' Interest in Technology","year":2001,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Web site; Psychology; Public relations; World Wide Web; Sociology; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003020997,0.0001571601,0.0002135283,0.00106082,0.0001901494,0.0002090145,0.0006703634,0.0002199926,0.0009322533],"category_scores_gemma":[0.0007292124,0.0001599091,0.00004713701,0.002028082,0.000342455,0.0007158057,0.0002783264,0.0003878899,0.0003325331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491648,"about_ca_system_score_gemma":0.0002118198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005475468,"about_ca_topic_score_gemma":0.007050211,"domain_scores_codex":[0.9985827,0.000115437,0.000296215,0.0003598854,0.0001219367,0.0005238879],"domain_scores_gemma":[0.9993103,0.00008860298,0.00006976895,0.0003416196,0.0000431056,0.0001466669],"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":[0.0000369238,0.0001089033,0.8301387,0.000007410008,0.00003506609,0.00004005765,0.00586422,0.000009478317,0.0007999031,0.1344177,0.0165136,0.01202801],"study_design_scores_gemma":[0.0006033674,0.00009936694,0.05678723,0.0001756037,0.00004741547,0.00002941041,0.04025189,0.00003868056,0.008256283,0.2413738,0.6515794,0.0007575013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9066074,0.0005933077,0.0009791383,0.04415902,0.0007856339,0.0004152872,0.000002641612,0.0004421559,0.04601535],"genre_scores_gemma":[0.9835634,0.00002964199,0.00989465,0.0014269,0.0001526949,0.0000449922,0.000004584744,0.00001984649,0.004863312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7733516,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08671673552136776,"score_gpt":0.3375157743995542,"score_spread":0.2507990388781864,"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."}}