{"id":"W1912385292","doi":"","title":"Funding IVF in Quebec: Mining the Web to Assess Public Support for Policy Change","year":2011,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001688693,0.0001111868,0.0001615462,0.0001077801,0.0007540057,0.0001177019,0.0006425442,0.0001127293,0.00007812318],"category_scores_gemma":[0.0006131886,0.00009249897,0.0000665976,0.001367214,0.0001234136,0.0004082408,0.0000520253,0.000180292,0.00001248843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388413,"about_ca_system_score_gemma":0.004166333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.528347,"about_ca_topic_score_gemma":0.9567932,"domain_scores_codex":[0.9975557,0.0001937701,0.000208386,0.0003089935,0.0003801351,0.001352995],"domain_scores_gemma":[0.9991993,0.0001523875,0.0001245189,0.0001703951,0.0001064987,0.0002468579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002771552,0.00004811388,0.1053359,0.00002378133,0.000008349001,0.000002602809,0.2088243,1.989255e-7,0.00003976433,0.5882307,0.006164259,0.09129436],"study_design_scores_gemma":[0.0003184186,0.0003356778,0.1206663,0.00003653813,0.000005599125,8.177951e-7,0.05471042,0.00003619428,0.00006007668,0.004537414,0.8189461,0.0003464177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5944991,0.001208523,0.00009994848,0.37171,0.0008752766,0.002339371,0.00002994001,0.0001477375,0.02909015],"genre_scores_gemma":[0.9911628,0.0001649585,0.0001331433,0.003626757,0.001000485,0.0003895368,0.000002429414,0.00001364326,0.003506298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8127819,"threshold_uncertainty_score":0.7390897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3154770607188763,"score_gpt":0.4352825642290816,"score_spread":0.1198055035102054,"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."}}