{"id":"W2888966381","doi":"10.1002/pra2.2017.14505401122","title":"Seeking ways to our transgender bodies, by ourselves: Rationalizing transgender‐specific health information behaviors","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College; University of British Columbia","funders":"","keywords":"Transgender; Queer; Lesbian; Context (archaeology); Argument (complex analysis); Information needs; Psychology; Population; Gender studies; Sociology; Medicine; Geography; Computer science; Demography; World Wide Web","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":[0.01254718,0.0003491334,0.0002102923,0.002271777,0.005599311,0.01152567,0.0009155247,0.002942047,0.003796204],"category_scores_gemma":[0.02155716,0.0004141627,0.000461068,0.0009703587,0.01879315,0.008728852,0.004881652,0.003318596,0.0005208692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003258422,"about_ca_system_score_gemma":0.0049757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009775597,"about_ca_topic_score_gemma":0.008664461,"domain_scores_codex":[0.9896451,0.008280315,0.0002121821,0.0004753357,0.0006836662,0.00070331],"domain_scores_gemma":[0.9828213,0.01191036,0.001959309,0.001099272,0.001325931,0.0008838475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008053191,0.0002827153,0.04002007,0.0001852954,0.000042134,0.0005775847,0.7296034,0.0002749039,0.001459092,0.1894994,0.002450311,0.03552458],"study_design_scores_gemma":[0.00003226164,0.0001043548,0.01531087,0.0006707478,0.00006712204,0.0005723035,0.7525907,0.002119246,0.001715284,0.1900761,0.03667871,0.00006238766],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7388222,0.001729793,0.0380088,0.07208694,0.0001866299,0.0002493836,0.0001005455,0.0001077884,0.1487079],"genre_scores_gemma":[0.9884614,0.0005883446,0.006338075,0.002480561,0.00003952519,0.00006634715,0.00003476314,0.0000237337,0.001967385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254718,"threshold_uncertainty_score":0.0663566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336634206685799,"score_gpt":0.3540171221621281,"score_spread":0.3106507800952701,"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."}}