{"id":"W2463268213","doi":"10.1177/1476750316656041","title":"Collaborating for community food security: Emerging scholar participation in a community–university partnership","year":2016,"lang":"en","type":"article","venue":"Action Research","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Wilfrid Laurier University","funders":"University of Guelph","keywords":"General partnership; Public relations; Work (physics); Food security; Sociology; Political science; Perspective (graphical); Affect (linguistics); Engineering ethics; Agriculture","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.032723,0.0004843604,0.0006642839,0.00307951,0.02986854,0.02141588,0.002963921,0.005093887,0.006106735],"category_scores_gemma":[0.03846892,0.000557445,0.0006400153,0.003161319,0.02043307,0.01402038,0.04427253,0.0058084,0.0005874296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003686006,"about_ca_system_score_gemma":0.01274415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041599,"about_ca_topic_score_gemma":0.003794843,"domain_scores_codex":[0.9551484,0.03625474,0.000685842,0.001561525,0.001735438,0.004614084],"domain_scores_gemma":[0.9463063,0.02661932,0.00367541,0.002905308,0.002984513,0.01750916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009828557,0.0003733386,0.01728069,0.0001821046,0.00002645971,0.002626976,0.8648927,0.0001507545,0.0007310944,0.07551452,0.003272803,0.03485021],"study_design_scores_gemma":[0.00002262543,0.000159742,0.002186781,0.00018132,0.00001648619,0.0009970745,0.9229278,0.0004532522,0.0003374172,0.02200032,0.05068761,0.00002959491],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592972,0.002086806,0.01839568,0.04114449,0.0006300163,0.0004203701,0.00003318938,0.0001278174,0.07786438],"genre_scores_gemma":[0.9934644,0.0004114619,0.00213028,0.0009453417,0.00005456349,0.0001001485,0.00001216216,0.00001893096,0.002862652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.032723,"threshold_uncertainty_score":0.1730578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3709721215451186,"score_gpt":0.5040621535781706,"score_spread":0.133090032033052,"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."}}