{"id":"W3176806794","doi":"10.1016/j.rbmo.2021.06.020","title":"Educational needs of fertility healthcare professionals using ART: a multi-country mixed-methods study","year":2021,"lang":"en","type":"article","venue":"Reproductive BioMedicine Online","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Axdev Group (Canada)","funders":"Ferring Pharmaceuticals; Meso Scale Diagnostics; Merck","keywords":"Context (archaeology); Thematic analysis; Health care; Medicine; Fertility; Family medicine; Reproductive health; Nursing; Medical education; Gynecology; Psychology; Qualitative research; Population; Political science; Geography","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":[0.01239684,0.000360052,0.001008583,0.001929834,0.002340665,0.002587043,0.000882341,0.001342347,0.00197468],"category_scores_gemma":[0.01591162,0.0008455121,0.0007902853,0.002258878,0.001216521,0.002401774,0.002218561,0.000964214,0.0002652012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272107,"about_ca_system_score_gemma":0.003482317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004987563,"about_ca_topic_score_gemma":0.007654555,"domain_scores_codex":[0.9931898,0.00423165,0.0006466608,0.0004329704,0.0006215248,0.0008774707],"domain_scores_gemma":[0.9887635,0.007935513,0.00155799,0.0002284351,0.0009287114,0.0005859332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002764045,0.001216786,0.3326882,0.002578705,0.0001655104,0.002107141,0.6280508,0.000133655,0.0009285835,0.0006222347,0.0007116679,0.03052034],"study_design_scores_gemma":[0.00004326396,0.001002892,0.1219875,0.001186961,0.00008598364,0.001112265,0.871456,0.0003677861,0.0002660269,0.0002005389,0.002250298,0.0000403113],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980164,0.0004209518,0.0003377814,0.0002587539,0.000008240318,0.0002822643,0.0001315885,0.000002282454,0.0005417984],"genre_scores_gemma":[0.9962395,0.0008169299,0.001170659,0.000478475,0.00001428635,0.0008913738,0.0001003364,0.000002971627,0.000285476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239684,"threshold_uncertainty_score":0.06556153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07353211408939071,"score_gpt":0.4855023342039749,"score_spread":0.4119702201145842,"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."}}