{"id":"W1557873435","doi":"10.18438/b80p5j","title":"PubMed Central: An Essential Resource for Information Professionals and Researchers","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; Listing (finance); Inclusion (mineral); Collection development; Library science; National library; Subject (documents); Data collection; Scope (computer science); Resource (disambiguation); Medicine; Computer science; Psychology; Sociology; Business; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003686113,0.000114688,0.0001236978,0.0003220307,0.00126508,0.0004850958,0.0002112878,0.0001604705,0.0005286806],"category_scores_gemma":[0.01092689,0.00009321293,0.00001805833,0.0004574354,0.0001188833,0.349812,0.0001181694,0.0005036179,0.0001334619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004304498,"about_ca_system_score_gemma":0.001576808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007793567,"about_ca_topic_score_gemma":3.278126e-7,"domain_scores_codex":[0.9967351,0.001127432,0.0006783382,0.0001557332,0.000504795,0.0007986305],"domain_scores_gemma":[0.992839,0.005331535,0.0004330107,0.0002291265,0.0003092963,0.0008579921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002971327,0.000209126,0.02050002,0.004876648,0.00002718026,5.440952e-7,0.02476111,0.00007839242,0.00006582923,0.1068041,0.565359,0.2743466],"study_design_scores_gemma":[0.0005392372,0.0001737609,0.1276367,0.0002537204,0.000005867184,0.000001698592,0.02082705,0.008509146,0.00007083831,0.0002219642,0.8416373,0.0001227094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2186474,0.0005393643,0.007045266,0.7470257,0.001076328,0.0125131,0.00007858593,0.0003369023,0.01273743],"genre_scores_gemma":[0.5589412,0.002589269,0.02425556,0.4004554,0.001303515,0.008734133,0.001285703,0.00003267086,0.002402561],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3493269,"threshold_uncertainty_score":0.9974045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065441825537563,"score_gpt":0.4511664828068976,"score_spread":0.3446223002531413,"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."}}