{"id":"W2945543138","doi":"","title":"Infertility in Canada","year":2018,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Presentation (obstetrics); Fertility; Infertility; Government (linguistics); Political science; Public health; Public administration; Medicine; Public relations; Nursing; Economic growth; Population; Environmental health; Economics","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":[0.0008486846,0.0003653169,0.0004133212,0.001640228,0.009524878,0.002972427,0.0009849594,0.001527795,0.04455974],"category_scores_gemma":[0.002381096,0.0003217671,0.0006271949,0.002988792,0.001387161,0.0005080483,0.001877985,0.002238091,0.00185497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07357203,"about_ca_system_score_gemma":0.1927569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888309,"about_ca_topic_score_gemma":0.996121,"domain_scores_codex":[0.9985805,0.00008822463,0.00003944603,0.00009267367,0.0004900894,0.0007091391],"domain_scores_gemma":[0.9977031,0.0001013246,0.00009932173,0.00002916658,0.0009066061,0.001160482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001033906,0.00007175058,0.04396326,0.0005827423,0.00003447651,0.002963266,0.003097244,0.0002035899,0.0003506978,0.02749113,0.7951844,0.125954],"study_design_scores_gemma":[0.00008221214,0.00004487813,0.109221,0.0008321349,0.00003332058,0.002303498,0.006437904,0.0001924952,0.0001092486,0.001468616,0.8792229,0.00005179352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07702804,0.1106062,0.0007732334,0.2134174,0.0126378,0.0006366452,0.009001332,0.0003083175,0.5755911],"genre_scores_gemma":[0.4758798,0.09988654,0.001481428,0.08923922,0.002693846,0.000323708,0.004310248,0.0001884,0.3259968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07357203,"threshold_uncertainty_score":0.533805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2097674857040267,"score_gpt":0.5020518494421717,"score_spread":0.292284363738145,"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."}}