{"id":"W2612129169","doi":"10.1007/978-3-319-57931-3_36","title":"Designing to Support Community Gardens by Going Beyond Community Gardens","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sociotechnical system; Computer science; Theme (computing); Work (physics); Community building; Community organization; Space (punctuation); Community design; Inclusion (mineral); Knowledge management; Sociology; Architectural engineering; Public relations; World Wide Web; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008708286,0.0006520734,0.0002236231,0.0005128261,0.003061837,0.003347652,0.001924101,0.001750656,0.01723967],"category_scores_gemma":[0.001711672,0.0004660886,0.0005184594,0.000572835,0.001168057,0.005023581,0.004738325,0.001411568,0.003958585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007867789,"about_ca_system_score_gemma":0.001827034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002816292,"about_ca_topic_score_gemma":0.00990163,"domain_scores_codex":[0.9992323,0.0002630959,0.00001930026,0.0001184557,0.0001672553,0.0001996101],"domain_scores_gemma":[0.9990661,0.0001989322,0.00004837852,0.0001300391,0.0001459693,0.0004106096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002557166,0.001494945,0.008633887,0.001363119,0.0001006934,0.001544381,0.05243953,0.005605735,0.03828709,0.1149906,0.1003,0.6749843],"study_design_scores_gemma":[0.00009237864,0.0002740471,0.005117943,0.0005047087,0.00007621366,0.0008536758,0.03779811,0.008790993,0.00622731,0.05110198,0.8890783,0.00008423284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1632193,0.001159771,0.4699124,0.006919891,0.0009497529,0.0008181084,0.0002414125,0.00361049,0.3531689],"genre_scores_gemma":[0.5523553,0.0006201882,0.347696,0.001076943,0.00007782796,0.0005889904,0.0003745427,0.0006479219,0.0965624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01723967,"threshold_uncertainty_score":0.05767238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981454644988982,"score_gpt":0.2963767537151326,"score_spread":0.2565622072652428,"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."}}