{"id":"W4386495730","doi":"10.32920/24101733","title":"Designing open access, educational resources / Développer des ressources éducatives en libre accès","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College; University Health Network; Toronto Metropolitan University","funders":"","keywords":"Open educational resources; License; Excellence; Educational resources; Open education; Quality (philosophy); Computer science; Knowledge management; Pedagogy; Medical education; Sociology; Political science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.00158081,0.0004697478,0.000490103,0.0005021502,0.00102856,0.01632607,0.01548585,0.0002766199,0.001002271],"category_scores_gemma":[0.001008611,0.0004339921,0.0001350012,0.0009469178,0.0001978295,0.003997911,0.02124969,0.001038997,0.0008670682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163007,"about_ca_system_score_gemma":0.001631144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195572,"about_ca_topic_score_gemma":0.0001008723,"domain_scores_codex":[0.9960951,0.00074068,0.0005897257,0.001457006,0.0005379017,0.0005795506],"domain_scores_gemma":[0.9965275,0.00120922,0.0004783898,0.001148481,0.0003471012,0.0002893275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000509458,0.0008690582,0.1194699,0.000743801,0.000628963,0.00001383119,0.456073,0.008930971,0.0004699313,0.06310548,0.2998103,0.04983388],"study_design_scores_gemma":[0.0006539923,0.0001117942,0.5969359,0.002256215,0.00007775088,0.00003739366,0.05584133,0.005838597,0.003352013,0.1784265,0.1532403,0.003228233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1777948,0.001272726,0.03866352,0.1405877,0.00774036,0.002788019,0.00001731797,0.002284911,0.6288506],"genre_scores_gemma":[0.5504656,0.0007967558,0.3114086,0.00151839,0.001334495,0.0006034544,0.0001393221,0.0001538766,0.1335795],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4952711,"threshold_uncertainty_score":0.999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460894378770508,"score_gpt":0.4104173587976401,"score_spread":0.2643279209205893,"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."}}