{"id":"W7127577299","doi":"10.5683/sp3/4m3d9f","title":"Replication Code for: How did the Canada Child Benefit affect household bargaining?","year":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Affect (linguistics); Replication (statistics); Replicate; Code (set theory); Data file","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":[0.004725424,0.002175646,0.001841697,0.003370828,0.003024253,0.003540772,0.004731999,0.002318267,0.2645972],"category_scores_gemma":[0.03930341,0.001410714,0.003944771,0.005943979,0.0008220416,0.001822887,0.002460963,0.004353316,0.08078054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00654649,"about_ca_system_score_gemma":0.01602995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6325225,"about_ca_topic_score_gemma":0.6974962,"domain_scores_codex":[0.9970657,0.0006826213,0.0002670419,0.0007389904,0.0006625487,0.0005831174],"domain_scores_gemma":[0.9799737,0.005637054,0.00123948,0.004189764,0.007983725,0.0009762864],"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":[0.00008466256,0.00002159001,0.001751448,0.0002223095,0.00006906394,0.000009148163,0.00004488379,0.0002142291,0.0000207276,0.000568873,0.9954128,0.001580329],"study_design_scores_gemma":[0.002490682,0.00005848146,0.04261518,0.0009494301,0.0003869381,0.00005168427,0.0004821363,0.001292116,0.0004426441,0.004424388,0.9466551,0.0001513157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0002880676,0.00004684536,0.0001962885,0.0002690935,0.00009469992,0.0001019681,0.997065,0.0002669455,0.001671162],"genre_scores_gemma":[0.005005779,0.00008569294,0.001680562,0.0002952323,0.00006834006,0.002102336,0.9765094,0.000613673,0.01363894],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3674775,"threshold_uncertainty_score":0.8851658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568784590714003,"score_gpt":0.3065387128847581,"score_spread":0.2608508669776181,"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."}}