{"id":"W2613169493","doi":"","title":"Nurturing Neighbourhoods: Parent Outreach Worker Program, Guelph, Ontario. Evaluation Report: November 2014","year":2014,"lang":"en","type":"article","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Geography; Economic growth; Economics","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":[0.002761328,0.0005706439,0.0005501602,0.0005007464,0.005019919,0.001082743,0.001787162,0.0009776084,0.01758091],"category_scores_gemma":[0.005397039,0.0004988375,0.0006360251,0.000994152,0.0008889061,0.0005974199,0.001757496,0.0009977092,0.001280447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04099199,"about_ca_system_score_gemma":0.1377592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9462594,"about_ca_topic_score_gemma":0.9869832,"domain_scores_codex":[0.996912,0.0007294401,0.0001054747,0.0002041029,0.001273194,0.0007758065],"domain_scores_gemma":[0.9949191,0.0002675772,0.0003049944,0.0001515555,0.001868078,0.002488586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01510528,0.006057565,0.1103854,0.01053972,0.0004482188,0.001149994,0.01536864,0.001052732,0.003512332,0.002307104,0.3416997,0.4923733],"study_design_scores_gemma":[0.01080598,0.01039337,0.6902272,0.004541433,0.0004319185,0.0001884813,0.01504899,0.0003735705,0.001351964,0.0004594099,0.2660677,0.0001099912],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6309,0.01238963,0.001746764,0.02029226,0.001269262,0.09667854,0.06520601,0.0009033079,0.1706142],"genre_scores_gemma":[0.7640384,0.01091705,0.01231429,0.009043966,0.0001659435,0.07362416,0.01361143,0.0001313421,0.1161534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05374056,"threshold_uncertainty_score":0.2974191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1925240412537295,"score_gpt":0.514601538292207,"score_spread":0.3220774970384775,"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."}}