{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304024,0.00007756706,0.000174608,0.000233649,0.0001158524,0.00001853728,0.0001974877,0.0000469594,0.00007977965],"category_scores_gemma":[0.001561796,0.00006102487,0.00001390606,0.0008340046,0.0002854616,0.0000747595,0.0002366306,0.000584935,0.00003859635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166389,"about_ca_system_score_gemma":0.001819848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6711099,"about_ca_topic_score_gemma":0.562629,"domain_scores_codex":[0.9978384,0.00001217211,0.0002033377,0.0003797817,0.0009380196,0.0006283113],"domain_scores_gemma":[0.9986326,0.00003601327,0.00002228481,0.0001835733,0.0009755039,0.0001500241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054898,0.0000783161,0.9855154,0.0001084402,0.000006908779,0.000016575,0.0003854515,4.773513e-9,0.001153735,0.001227046,0.008668087,0.002734554],"study_design_scores_gemma":[0.0004213949,0.0004294911,0.9749104,0.00006313177,0.000001451388,0.000007842152,0.003271968,0.00000467566,0.007456897,0.001347212,0.01203485,0.00005062773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564095,0.0002081458,2.737578e-7,0.005402322,0.00006180106,0.0007388344,5.906674e-7,0.00004985632,0.03712871],"genre_scores_gemma":[0.9988706,0.00006893681,0.00008633109,0.0001591844,0.0001816075,0.0001089986,5.877621e-7,0.00000796626,0.0005158343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.108481,"threshold_uncertainty_score":0.4453519,"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."}}