{"id":"W2016080924","doi":"10.5860/rusq.47n1.67","title":"“If My Mother Was Alive I’d Probably Have Called Her.”","year":2007,"lang":"en","type":"article","venue":"Reference & User Services Quarterly","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"The Internet; Government (linguistics); Public relations; Health care; Variety (cybernetics); Internet privacy; Public health; Health information; Quality (philosophy); Psychology; Business; Nursing; Medicine; Political science; World Wide Web; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001534792,0.0004658081,0.0002923334,0.0005916836,0.01545032,0.001801849,0.001014291,0.001412962,0.01240452],"category_scores_gemma":[0.004842302,0.0002442409,0.000279092,0.0006893904,0.004835567,0.001946973,0.00135184,0.003324399,0.002983634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008110531,"about_ca_system_score_gemma":0.01028319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5852856,"about_ca_topic_score_gemma":0.730556,"domain_scores_codex":[0.9987509,0.0003280695,0.00002956361,0.00009600367,0.000248624,0.0005469063],"domain_scores_gemma":[0.9982951,0.0001988818,0.0001775466,0.00005720099,0.0006379355,0.000633285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001206649,0.0001337983,0.04526426,0.000271284,0.00003120859,0.009002333,0.5295574,0.0001186653,0.002961636,0.01210666,0.2798254,0.1206067],"study_design_scores_gemma":[0.000005917749,0.00006782873,0.01970927,0.0002723907,0.00001871063,0.003768338,0.5561453,0.00009265997,0.0004386037,0.0006951513,0.4186841,0.0001017326],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5171048,0.006759871,0.004546735,0.2303368,0.005489563,0.0003271717,0.001016414,0.0004379327,0.2339806],"genre_scores_gemma":[0.7591928,0.004830373,0.002935052,0.06196504,0.0003696483,0.0001180474,0.0002805732,0.0001031198,0.1702053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5852856,"threshold_uncertainty_score":0.8343135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04206420860168416,"score_gpt":0.407455667485822,"score_spread":0.3653914588841379,"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."}}