{"id":"W4210731376","doi":"10.2196/preprints.15132","title":"Searching the Internet for Infertility Information: A Survey of Patient Needs and Preferences (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; McGill University Health Centre; Jewish General Hospital; Ottawa Fertility Centre; McGill University","funders":"","keywords":"Infertility; The Internet; Distress; Medicine; Family medicine; Information needs; Psychology; Clinical psychology; Pregnancy; Library science; World Wide Web; Computer science; Biology","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":[0.001798688,0.00008680944,0.0002683009,0.0006992275,0.0005406791,0.0007654896,0.0002184842,0.0006205879,0.004822947],"category_scores_gemma":[0.006228847,0.0002624186,0.0004052573,0.001247166,0.0002317996,0.001182162,0.0005147755,0.0005661147,0.0007785933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808433,"about_ca_system_score_gemma":0.0005032024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004982894,"about_ca_topic_score_gemma":0.007195286,"domain_scores_codex":[0.9992402,0.0002556618,0.0001586281,0.00005836937,0.0001847887,0.0001023986],"domain_scores_gemma":[0.9962308,0.001407865,0.001261941,0.0000860458,0.0004278101,0.0005855424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009957774,0.0001497561,0.9801899,0.0001276028,0.00004127994,0.0001490807,0.004653435,0.00003770702,0.0002007061,0.00005378223,0.002655659,0.01164151],"study_design_scores_gemma":[0.00002865435,0.0003111268,0.9798263,0.00008131321,0.0000221988,0.0004101284,0.01583073,0.0002632958,0.00006432527,0.00005571142,0.003088535,0.00001771033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960092,0.0003128135,0.00006137497,0.0009337786,0.000009900045,0.00005523356,0.00103995,0.000004825734,0.001572873],"genre_scores_gemma":[0.9973329,0.0004250105,0.0002240462,0.000840507,0.00001348053,0.00006369023,0.0004645879,0.000003213089,0.0006325883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004982894,"threshold_uncertainty_score":0.01613432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07423077121836907,"score_gpt":0.3377845207501528,"score_spread":0.2635537495317837,"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."}}