{"id":"W4301277229","doi":"10.51952/9781447325741.ch006","title":"F","year":2016,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Female Genital Mutilation/Cutting Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219682,0.00103764,0.0006437319,0.002104032,0.002396279,0.005990444,0.001797432,0.003150919,0.5264415],"category_scores_gemma":[0.005035908,0.0003895935,0.0008862055,0.001648601,0.0008935547,0.003404765,0.003315856,0.001832089,0.399632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172239,"about_ca_system_score_gemma":0.00261485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006545017,"about_ca_topic_score_gemma":0.004564961,"domain_scores_codex":[0.9982271,0.0002321396,0.0001115583,0.000480098,0.000656485,0.0002927325],"domain_scores_gemma":[0.9980414,0.0002336473,0.0001211256,0.0003664923,0.0009653501,0.0002719832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001543872,0.00008478638,0.001690463,0.0005791992,0.00002805547,0.0004502847,0.0004533221,0.0003331828,0.001791435,0.04995355,0.6323521,0.3121293],"study_design_scores_gemma":[0.000009503133,0.00001874337,0.0005782133,0.0001337369,0.000006656158,0.0003034228,0.0001489199,0.0001578665,0.0004215237,0.004247998,0.9939603,0.00001314772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003528224,0.003441198,0.01058445,0.007322275,0.007625719,0.0002827721,0.00536878,0.00304636,0.9588002],"genre_scores_gemma":[0.03718401,0.005169879,0.01136759,0.00612798,0.002217194,0.0003501072,0.01112138,0.001474894,0.9249869],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5264415,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06992391158343843,"score_gpt":0.3228473921124544,"score_spread":0.252923480529016,"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."}}