{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001223619,0.0001098608,0.0002063183,0.00007293587,0.001528345,0.0000143781,0.0001103323,0.0001431014,0.0004974947],"category_scores_gemma":[0.0002746049,0.0000996001,0.00003286231,0.00008658005,0.00001849525,0.000338074,0.0001423389,0.001360519,0.0002891938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888844,"about_ca_system_score_gemma":0.0001803589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656037,"about_ca_topic_score_gemma":0.0008121678,"domain_scores_codex":[0.9983962,0.0006844942,0.0003570221,0.0001140413,0.0001100095,0.0003381907],"domain_scores_gemma":[0.9975641,0.001730008,0.0001636776,0.0003225573,0.000142908,0.00007677361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002228394,0.0003002429,0.1113296,0.005621349,0.0001469475,7.489858e-7,0.6540073,0.00001477671,0.002143513,0.1390257,0.06647527,0.01870621],"study_design_scores_gemma":[0.003510789,0.0004184213,0.0556834,0.00127805,0.00002569409,0.00001013559,0.2443459,0.001153433,0.0002850592,0.02700647,0.6658762,0.0004064563],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393344,0.00005266607,0.0007515494,0.001885008,0.003447617,0.001442853,0.00001259063,0.00009697639,0.05297634],"genre_scores_gemma":[0.9916067,0.000107203,0.0006636811,0.003725523,0.0001329933,0.0001493262,0.00005112318,0.00001800716,0.003545418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5994009,"threshold_uncertainty_score":0.9997715,"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."}}