{"id":"W6920722232","doi":"10.60692/52akw-msg69","title":"Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Resource (disambiguation); Representation (politics); Computational model; Computational resource; Quality (philosophy); Cluster analysis; Computational genomics; Systems biology; External Data Representation","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001603215,0.0004097922,0.0003317129,0.02536255,0.001135784,0.002734019,0.0005403435,0.0004063883,0.004044131],"category_scores_gemma":[0.02089584,0.0001885145,0.0003230137,0.02257836,0.0005735412,0.002965763,0.002676537,0.0004927015,0.001099036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009416712,"about_ca_system_score_gemma":0.00159688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009250131,"about_ca_topic_score_gemma":0.01585898,"domain_scores_codex":[0.9975615,0.0006078174,0.0003716727,0.0004166741,0.0008046983,0.0002377683],"domain_scores_gemma":[0.9754919,0.009771695,0.004459589,0.001707967,0.007065313,0.001503477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00049269,0.0005022082,0.4534588,0.005020341,0.0003922571,0.001492205,0.0157967,0.007838537,0.01765047,0.04746786,0.06785876,0.3820291],"study_design_scores_gemma":[0.00007888883,0.0002215196,0.540858,0.001385908,0.0003399584,0.001410063,0.03012918,0.05211078,0.0201712,0.03361455,0.3194612,0.0002187345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8261983,0.001255289,0.05775046,0.0007137539,0.0001610328,0.001096765,0.06977977,0.001813395,0.04123117],"genre_scores_gemma":[0.7679834,0.00080913,0.1294419,0.0001095546,0.00008443894,0.001004552,0.09277618,0.0004474604,0.00734335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9994597,"threshold_uncertainty_score":0.01839256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06332911620341308,"score_gpt":0.2827128900834108,"score_spread":0.2193837738799977,"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."}}