{"id":"W6958086177","doi":"10.6084/m9.figshare.12082212","title":"Additional file 1 of Impact of legislation and public funding on oncofertility: a survey of Canadian, French and Moroccan pediatric hematologists/oncologists","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Legislation; Public funding; Government (linguistics); Public access; Public policy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001628582,0.000450345,0.0006603131,0.003037809,0.001291888,0.0009433024,0.001205903,0.0008853463,0.6064569],"category_scores_gemma":[0.0275874,0.0002869537,0.0005114112,0.006380132,0.0002405243,0.001425066,0.0008573352,0.0008272266,0.03537389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003076459,"about_ca_system_score_gemma":0.005585545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1317899,"about_ca_topic_score_gemma":0.1666903,"domain_scores_codex":[0.9985906,0.000229822,0.000260869,0.0001733756,0.000457552,0.0002877135],"domain_scores_gemma":[0.9747594,0.01150956,0.004096603,0.0007577993,0.007766946,0.001109578],"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":[0.0001374921,0.00006433059,0.008814801,0.0008944409,0.00001665288,0.00003242018,0.0001187167,0.0001265515,0.0000214862,0.0007304542,0.9834246,0.005618045],"study_design_scores_gemma":[0.002666686,0.0003297071,0.2784798,0.007748825,0.0001626964,0.0005656961,0.004382324,0.001524559,0.0004447976,0.003510255,0.7000397,0.000144842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001007241,0.00003303597,0.00006169566,0.0003359308,0.00001930911,0.0001220701,0.9952264,0.00003733494,0.003156975],"genre_scores_gemma":[0.05423655,0.0006496558,0.002260108,0.002031572,0.0002733308,0.004590076,0.8995213,0.0002142274,0.03622325],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8682101,"threshold_uncertainty_score":0.5613415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.207416508534131,"score_gpt":0.3734378915266894,"score_spread":0.1660213829925584,"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."}}