{"id":"W2304509612","doi":"","title":"Speaking the Same Language: Relevance for a Global Ontology of Work-Integrated Learning","year":2009,"lang":"en","type":"article","venue":"Griffith Research Online (Griffith University, Queensland, Australia)","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Relevance (law); Ontology; Identity (music); Context (archaeology); Audit; Linguistics; Point (geometry); Work (physics); Session (web analytics); Sociology; Computer science; Knowledge management; World Wide Web; Epistemology; Management; Engineering; Political science; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002516984,0.0002095323,0.0003743072,0.0001937819,0.001069302,0.00008369908,0.000996679,0.0002863581,0.0002125924],"category_scores_gemma":[0.001890566,0.0001742815,0.0001795452,0.002041254,0.001069675,0.0002102005,0.00009141286,0.0009798149,0.00002798112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813731,"about_ca_system_score_gemma":0.0008209322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02597825,"about_ca_topic_score_gemma":0.08132597,"domain_scores_codex":[0.9956721,0.001591019,0.0003233762,0.0005161429,0.0008716636,0.001025716],"domain_scores_gemma":[0.9969696,0.001019822,0.0001900539,0.0004218301,0.001096011,0.0003026498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003261953,0.002239749,0.6972629,0.0001803704,0.0002851647,0.0001342153,0.05951725,0.0009197022,0.0003496418,0.08618239,0.06531677,0.08434983],"study_design_scores_gemma":[0.001657047,0.0006068893,0.4729162,0.0001756969,0.00006146852,0.00000561691,0.05211204,0.00003090124,0.00003944342,0.001810767,0.4701744,0.0004094703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706069,0.000129207,0.0003778371,0.02538743,0.0002675109,0.0008953279,0.0001348734,0.0001326854,0.002068211],"genre_scores_gemma":[0.9749761,0.0001469678,0.003227823,0.0001089473,0.0003824369,0.000002850298,0.00009406831,0.00001132821,0.02104946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4048577,"threshold_uncertainty_score":0.9805079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140930884477825,"score_gpt":0.4538332804157884,"score_spread":0.3129023959379634,"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."}}