{"id":"W4235190950","doi":"10.2196/preprints.13355","title":"Web Comparison of Three Contingent Valuation Techniques in Women of Childbearing Age: The Case of Ovulation Induction in Quebec (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire en santé mentale de Montréal; Institut Universitaire en Santé Mentale de Québec; Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Contingent valuation; Ovulation induction; Infertility; Respondent; Gynecology; Ovulation; Medicine; Willingness to pay; Anovulation; Demography; Economics; Pregnancy; Political science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00836145,0.0002357289,0.000329456,0.001169877,0.001239504,0.001242195,0.0008439457,0.0006435338,0.008513975],"category_scores_gemma":[0.03183772,0.0001582523,0.0006181352,0.001732258,0.0004848676,0.0006234721,0.0006485528,0.0004662637,0.0004861481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01262814,"about_ca_system_score_gemma":0.005935972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6796033,"about_ca_topic_score_gemma":0.705173,"domain_scores_codex":[0.9967207,0.002314702,0.0001250981,0.0001461605,0.0004621852,0.0002310656],"domain_scores_gemma":[0.9745987,0.01980958,0.001350736,0.0006537435,0.002970893,0.0006163392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01122189,0.003673884,0.4753611,0.002299648,0.0006384392,0.001086592,0.01218462,0.01575802,0.00259546,0.007956715,0.02290424,0.4443194],"study_design_scores_gemma":[0.0008427885,0.002823472,0.9066494,0.0007319332,0.0002478765,0.0002084072,0.01016873,0.05852704,0.0009476499,0.001460429,0.01722372,0.000168624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776385,0.0009360621,0.002152115,0.0009417978,0.00004698631,0.0008806624,0.001478766,0.00003870998,0.01588631],"genre_scores_gemma":[0.9908745,0.0004578698,0.00437921,0.0001531675,0.00001355152,0.0005751456,0.0007774025,0.000007386281,0.002761632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3203967,"threshold_uncertainty_score":0.6445671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206510987331914,"score_gpt":0.2718496714184982,"score_spread":0.1511985726853068,"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."}}