{"id":"W6929563874","doi":"10.5064/f6wblx4i","title":"Data for: Negotiation of the Use of Medical Contraception: Levers and Obstacles within Married Couple in Benin","year":2021,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Hedgehog Signaling Pathway Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Negotiation; Fertility; Data collection; Confidentiality; Participant observation; Family planning; Listing (finance); Abortion","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064646,0.0001862827,0.0003839149,0.00007134459,0.0001175635,0.00001733091,0.001307926,0.0003560302,0.000004686309],"category_scores_gemma":[0.002314371,0.0001726253,0.00005348745,0.0001291348,0.0005874092,0.00003941301,0.002263848,0.0002178113,1.602879e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003750552,"about_ca_system_score_gemma":0.0005869992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363041,"about_ca_topic_score_gemma":0.005256865,"domain_scores_codex":[0.9975677,0.0008370309,0.0004150001,0.0006382857,0.0004099935,0.0001320002],"domain_scores_gemma":[0.9967376,0.0005047485,0.0005702413,0.001881051,0.0002492843,0.00005704599],"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":[0.0002607543,0.0001186664,0.0001933776,0.0003768258,0.0004401053,0.00002325429,0.001389198,0.00002782471,0.01180173,0.00004706011,0.9852762,0.00004495772],"study_design_scores_gemma":[0.001271262,0.0001089747,0.0005914913,0.0003990237,0.0002863159,0.000008444261,0.01635826,0.0002934346,0.00309937,0.000004323742,0.9772989,0.0002802727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05080497,0.0005788665,0.0004426141,0.00011998,0.0002266665,0.0002899476,0.9475327,0.000002564497,0.000001751033],"genre_scores_gemma":[0.004295576,0.0005556116,0.0008308434,0.00003990957,0.00006385024,0.000001159767,0.9941011,0.0000103628,0.0001016086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04656844,"threshold_uncertainty_score":0.7039456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.181845029933598,"score_gpt":0.3589144718121056,"score_spread":0.1770694418785076,"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."}}