{"id":"W2956975818","doi":"10.1002/symb.445","title":"Standing up for Community through Thick and Thin","year":2019,"lang":"en","type":"article","venue":"Symbolic Interaction","topic":"Community Health and Development","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"World Wide Web; Citation; Computer science; Library science","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":[],"consensus_categories":[],"category_scores_codex":[0.006426264,0.000806914,0.000596341,0.002745901,0.03603914,0.01901764,0.001927113,0.003299806,0.0234376],"category_scores_gemma":[0.0162282,0.0005266397,0.000432334,0.001564378,0.05245518,0.01370156,0.02723568,0.00918357,0.002101475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005997779,"about_ca_system_score_gemma":0.01295085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157436,"about_ca_topic_score_gemma":0.02324658,"domain_scores_codex":[0.9928131,0.003919041,0.0001781798,0.0004983199,0.001292235,0.001299052],"domain_scores_gemma":[0.9908773,0.002526135,0.0008826771,0.0009691849,0.00117328,0.003571329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005701197,0.00009806524,0.003076762,0.0001081404,0.00002575941,0.0004698973,0.2947989,0.0001596827,0.0006685113,0.6572999,0.01447916,0.0287581],"study_design_scores_gemma":[0.00003023451,0.00009273349,0.003070477,0.0005808249,0.00004143511,0.0004764926,0.4328892,0.0005413083,0.000407579,0.3457651,0.2160399,0.00006482021],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1408165,0.001659047,0.01925283,0.04676691,0.001193189,0.000110454,0.0000783962,0.0002092163,0.7899134],"genre_scores_gemma":[0.9444683,0.0003474317,0.004002023,0.002820149,0.0001154035,0.00008321701,0.00003363202,0.0001142246,0.04801552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03603914,"threshold_uncertainty_score":0.07840657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598673279181031,"score_gpt":0.4957546535422749,"score_spread":0.3358873256241719,"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."}}