{"id":"W2138174622","doi":"","title":"eduSource: A Pan–Canadian Learning Object Repository","year":2002,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Object (grammar); Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009254217,0.0005607721,0.0005380175,0.0006422456,0.001309418,0.001190448,0.0008439315,0.0002706252,0.001026863],"category_scores_gemma":[0.0001856451,0.0006257347,0.00009701751,0.001536487,0.000136654,0.0009042905,0.0001766824,0.002409463,0.0005382429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311535,"about_ca_system_score_gemma":0.001360479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371846,"about_ca_topic_score_gemma":0.00595571,"domain_scores_codex":[0.9946474,0.001106287,0.0008238714,0.001365745,0.0009793454,0.001077374],"domain_scores_gemma":[0.9968941,0.0002446276,0.001026922,0.000676716,0.0002816843,0.0008759004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008487687,0.0009052561,0.3563573,0.0002762112,0.00006725053,0.00005854955,0.01040328,0.0006926699,0.0003607378,0.4364512,0.01159828,0.1827444],"study_design_scores_gemma":[0.001241104,0.00115477,0.4507826,0.0009912064,0.00003139816,0.0000774452,0.009998023,0.01198259,0.0001240238,0.00251213,0.5193105,0.001794295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1352662,0.001624575,0.0002184258,0.05752328,0.005418236,0.001310365,0.000005097776,0.0007544766,0.7978793],"genre_scores_gemma":[0.7852036,0.0005677247,0.0009365006,0.001889017,0.0003580964,0.0001323243,0.00002198911,0.00005454855,0.2108362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6499373,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05665023739334497,"score_gpt":0.2717181692587341,"score_spread":0.2150679318653891,"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."}}