{"id":"W2776620816","doi":"10.11575/prism/35470","title":"No Man Left Behind: How and Why to Include Fathers in Government-Funded Parenting Strategies","year":2016,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Left behind; Psychology; Political science; Developmental psychology; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002523149,0.00005794574,0.00009717778,0.00005559933,0.000279891,0.00003438354,0.0001707228,0.00008069263,0.00004339415],"category_scores_gemma":[0.00004784007,0.00005612937,0.00002992498,0.0000481763,0.0001800814,0.0003599835,0.0001154957,0.00006866334,0.000007649246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215373,"about_ca_system_score_gemma":0.00004977249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004871092,"about_ca_topic_score_gemma":0.01389264,"domain_scores_codex":[0.9993006,0.00007546851,0.00005362775,0.0001454574,0.0002566923,0.0001681661],"domain_scores_gemma":[0.9996659,0.00008502025,0.00005885386,0.00007928445,0.00002523012,0.00008566621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001227362,0.0001710513,0.6515131,0.0000578105,0.00009424049,0.00005078986,0.1243607,0.000004846057,0.00534408,0.08894646,0.002918426,0.1264158],"study_design_scores_gemma":[0.002011379,0.0001538878,0.7812313,0.00028496,0.00005324013,7.674365e-7,0.08799288,0.003816849,0.0000290172,0.01408643,0.1097268,0.0006124447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325876,0.00002362064,0.02740465,0.004784057,0.00007257937,0.0001445079,0.000001034172,0.00001992099,0.03496204],"genre_scores_gemma":[0.9891453,0.0001049381,0.004261277,0.00004141094,0.000008130143,1.217229e-7,7.420138e-7,0.000004114404,0.006433983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1297182,"threshold_uncertainty_score":0.7752419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496657537633384,"score_gpt":0.2185983479772167,"score_spread":0.2036317726008829,"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."}}