{"id":"W2114179926","doi":"10.1109/percomw.2005.21","title":"CanCore: Best Practices for Learning Object Metadata in Ubiquitous Computing Environments","year":2005,"lang":"en","type":"article","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Ubiquitous computing; Computer science; Metadata; Context-aware pervasive systems; Learning object; Interoperability; Multimedia; World Wide Web; Flexibility (engineering); Mobile device; Context (archaeology); Ubiquitous robot; Human–computer interaction; Mobile computing; Adaptability; Artificial intelligence; Robot learning; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05170246,0.002004921,0.002059156,0.01791531,0.006733588,0.02399592,0.0154291,0.01587264,0.00769972],"category_scores_gemma":[0.09478635,0.002935386,0.00213601,0.01694023,0.01158084,0.04073903,0.01783915,0.01163968,0.01009849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007644524,"about_ca_system_score_gemma":0.01573718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02729125,"about_ca_topic_score_gemma":0.02506465,"domain_scores_codex":[0.9325942,0.01835178,0.0120067,0.005298665,0.02838387,0.003364791],"domain_scores_gemma":[0.9012852,0.01926315,0.004777846,0.04120794,0.03020564,0.003260197],"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":[0.000123297,0.0003205917,0.001345457,0.002047724,0.00009764207,0.0007887454,0.005410876,0.004184037,0.004474056,0.530803,0.07317109,0.3772334],"study_design_scores_gemma":[0.00004388048,0.00005183626,0.0004473602,0.002982611,0.00005807955,0.0006268866,0.001110773,0.006258902,0.004802291,0.06955312,0.9139045,0.0001597484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002324063,0.00862922,0.9059488,0.01228487,0.001298008,0.001692579,0.0007574463,0.01183424,0.05523069],"genre_scores_gemma":[0.02098307,0.008613898,0.9391355,0.004033489,0.0005306477,0.001331343,0.003958154,0.003474208,0.01793977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05170246,"threshold_uncertainty_score":0.273432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255359555741531,"score_gpt":0.3329339236663459,"score_spread":0.2903803281089306,"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."}}