{"id":"W2133100530","doi":"10.21432/t2ws34","title":"Weaving a Personal Web: Using online technologies to create customized, connected, and dynamic learning environments","year":2010,"lang":"fr","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bookmarking; World Wide Web; Publishing; Library science; Electronic publishing; Sociology; Humanities; The Internet; Computer science; Political science; Art","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":[0.001021983,0.0004630373,0.0001807987,0.001991935,0.001479548,0.005310847,0.0009147706,0.0009753547,0.01087727],"category_scores_gemma":[0.002805958,0.0002847831,0.0004863087,0.001556341,0.001865301,0.01048473,0.005015795,0.0008424493,0.002989713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005878774,"about_ca_system_score_gemma":0.0009400505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537929,"about_ca_topic_score_gemma":0.002579104,"domain_scores_codex":[0.9990205,0.0003407203,0.00004858275,0.0001406393,0.0003357477,0.0001139243],"domain_scores_gemma":[0.9982868,0.0006512509,0.0001285025,0.0005145219,0.000141653,0.0002772701],"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":[0.00006831733,0.0002362789,0.006128014,0.0005181904,0.00004409704,0.001244426,0.02246296,0.001210281,0.008546406,0.1098824,0.01411554,0.8355431],"study_design_scores_gemma":[0.00003507145,0.0002704691,0.007939299,0.0007576706,0.00007348129,0.003289572,0.01348607,0.004992994,0.01019113,0.07184267,0.8870081,0.000113514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1903295,0.004137993,0.362108,0.003601789,0.0005752803,0.0004674772,0.0002178251,0.005555569,0.4330067],"genre_scores_gemma":[0.6125233,0.007640521,0.2344192,0.001192373,0.0004659655,0.0004467824,0.0004334516,0.00137515,0.1415034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01087727,"threshold_uncertainty_score":0.03638816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184935258781353,"score_gpt":0.3035289092310406,"score_spread":0.2916795566432271,"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."}}