{"id":"W2579667253","doi":"","title":"Out on the Shelf: Community Needs Assessment Data Summary","year":2017,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Off the shelf; Computer science; Business","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":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.005574701,0.00009014856,0.0001364514,0.00004727709,0.01311546,0.0001303031,0.007736557,0.00006206594,0.0002714052],"category_scores_gemma":[0.0002006915,0.00007022976,0.00007674794,0.0001146778,0.0008123362,0.0003155475,0.002617169,0.0009204997,0.00008168696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007646869,"about_ca_system_score_gemma":0.0001297995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06682138,"about_ca_topic_score_gemma":0.02072946,"domain_scores_codex":[0.9966886,0.002505349,0.00007305055,0.00009695718,0.0004234249,0.0002126333],"domain_scores_gemma":[0.9952004,0.00103132,0.0002241928,0.003394778,0.00008858275,0.00006072092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003513493,0.001217439,0.03109455,0.0001031707,0.0008210573,0.00002075145,0.5432248,0.000150373,0.002329548,0.2122697,0.164285,0.04413234],"study_design_scores_gemma":[0.000323857,0.00007201295,0.2455193,0.00004101391,0.00009488028,1.875922e-7,0.4802995,0.0002368686,0.000006092034,0.0009263335,0.2723502,0.0001298239],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5563856,0.00004029786,0.0001328084,0.06839739,0.000306476,0.0002503461,0.00003546943,0.00007089601,0.3743807],"genre_scores_gemma":[0.9926357,0.0002063712,0.00010618,0.0003662111,0.00007399332,1.817706e-7,0.00002704707,0.000005904306,0.006578355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4362502,"threshold_uncertainty_score":0.9976321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264649515231183,"score_gpt":0.328321520916696,"score_spread":0.2018565693935778,"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."}}