{"id":"W4315649348","doi":"10.29173/cjnser614","title":"Mixed Methods for Complex Programmes: The Use of the DOME Model for the Evaluation of Public-Private Partnerships Against Educational Poverty in Italy","year":2023,"lang":"en","type":"article","venue":"Canadian journal of nonprofit and social economy research","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Citizen journalism; Poverty reduction; Dome (geology); Political science; Program evaluation; Economic growth; Engineering; Public administration; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2064167,0.002461385,0.003352736,0.004445846,0.001664784,0.004842815,0.002900775,0.002492763,0.005544041],"category_scores_gemma":[0.228638,0.001101676,0.003943981,0.002882779,0.003609474,0.002936799,0.008344995,0.003407054,0.0004637192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006051854,"about_ca_system_score_gemma":0.005515619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393291,"about_ca_topic_score_gemma":0.00424471,"domain_scores_codex":[0.5344207,0.4482532,0.003781645,0.004582438,0.008060665,0.000901321],"domain_scores_gemma":[0.73138,0.2456425,0.007985099,0.009658653,0.004383492,0.0009501767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.004634746,0.001690671,0.01414279,0.00595382,0.005549044,0.0002191118,0.00649524,0.08661167,0.001102461,0.308026,0.003416405,0.5621581],"study_design_scores_gemma":[0.003766179,0.009337188,0.01366976,0.005063819,0.002107315,0.0003050886,0.003239344,0.5145229,0.004234134,0.407597,0.03562549,0.0005319276],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01505779,0.001746474,0.9627115,0.0009909525,0.0001780846,0.01275657,0.000364913,0.0002122394,0.005981334],"genre_scores_gemma":[0.1207495,0.0006307988,0.8344961,0.0004062181,0.00005544361,0.0424774,0.0001692884,0.0000528629,0.0009623272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2064167,"threshold_uncertainty_score":0.9786295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9108393480948866,"score_gpt":0.6341949302725147,"score_spread":0.2766444178223719,"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."}}