{"id":"W4225351187","doi":"10.1093/bioinformatics/btac236","title":"Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Computer science; Resource (disambiguation); Representation (politics); Data science; Domain (mathematical analysis); Systems biology; Computational biology; Biology; Mathematics","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001484378,0.000476161,0.0003283494,0.02338621,0.001087601,0.002563959,0.0005815332,0.0004525,0.003857767],"category_scores_gemma":[0.01880848,0.0001761462,0.0003411158,0.02076799,0.000623007,0.002735193,0.002539824,0.0004648584,0.001100396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008938995,"about_ca_system_score_gemma":0.001647078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008252528,"about_ca_topic_score_gemma":0.01334937,"domain_scores_codex":[0.9975447,0.0005896966,0.0003677484,0.0004755831,0.0007821603,0.0002401677],"domain_scores_gemma":[0.976767,0.009453701,0.004264432,0.001503838,0.00638253,0.001628469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005435009,0.0005770747,0.4714551,0.006861521,0.00038979,0.001744899,0.01288394,0.008323851,0.01806022,0.04111718,0.07339446,0.3646485],"study_design_scores_gemma":[0.00009688551,0.0002671592,0.516023,0.001844487,0.000388559,0.00206794,0.02710482,0.05497242,0.02381557,0.0346412,0.338546,0.0002319362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8024071,0.001719699,0.0600716,0.0007787761,0.0001699778,0.001277296,0.09256754,0.002074246,0.03893372],"genre_scores_gemma":[0.7405574,0.0009434905,0.1298187,0.0001242724,0.0001090522,0.00112924,0.1205195,0.0004418194,0.006356525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9994184,"threshold_uncertainty_score":0.01640898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05021417730920626,"score_gpt":0.3220012158937981,"score_spread":0.2717870385845919,"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."}}