{"id":"W7111600343","doi":"","title":"Data - Just the Numbers: The impact of Canadian International Assistance for Family Planning, 2020-2021","year":2021,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Data collection; Work (physics); Agency (philosophy); Commission","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":[0.004925966,0.00129691,0.001138794,0.004925609,0.002923201,0.007344063,0.003039566,0.001799937,0.1045974],"category_scores_gemma":[0.03433947,0.001003379,0.001350267,0.01271961,0.0009562029,0.002646119,0.002758551,0.003779679,0.02076813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05222817,"about_ca_system_score_gemma":0.1608481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932646,"about_ca_topic_score_gemma":0.9928839,"domain_scores_codex":[0.9931879,0.0003721417,0.0003115917,0.0003372021,0.004437843,0.001353312],"domain_scores_gemma":[0.9730467,0.001856795,0.000771819,0.0009146022,0.02036092,0.003049212],"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":[0.00006944752,0.00001151389,0.001672686,0.0001891277,0.00002042152,0.00001178278,0.00005574531,0.0002990562,0.00002884377,0.00392325,0.9872226,0.006495495],"study_design_scores_gemma":[0.0001474614,0.00001831437,0.03632516,0.0006198289,0.00004899179,0.00002090213,0.0006973594,0.0009544103,0.000445781,0.002210325,0.9584028,0.0001086692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00112813,0.00065643,0.0002211912,0.008225895,0.0007978322,0.0001369712,0.9478289,0.0004631525,0.04054146],"genre_scores_gemma":[0.04098266,0.003307723,0.005700318,0.004839684,0.0003562206,0.0005872469,0.8128533,0.001323455,0.1300494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1045974,"threshold_uncertainty_score":0.3789437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06039011989512047,"score_gpt":0.341499505548181,"score_spread":0.2811093856530605,"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."}}