{"id":"W2944382691","doi":"10.12781/978-1-907549-39-7-12","title":"APPRECIATIVE INQUIRY, A LIGHTHOUSE ON A FOGGY PATH","year":2019,"lang":"en","type":"article","venue":"AI Practitioner","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Appreciative inquiry; Path (computing); Art; Computer science; Sociology; Pedagogy; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002994418,0.00006072967,0.00007644934,0.0000535319,0.0002512467,0.00009060594,0.00008468508,0.00007572633,0.001823353],"category_scores_gemma":[0.0002310454,0.00005742043,0.00003045216,0.0002210564,0.00004219146,0.0004997115,0.00001430677,0.0001400267,0.002916503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006826277,"about_ca_system_score_gemma":0.00009188529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002095878,"about_ca_topic_score_gemma":0.0001078793,"domain_scores_codex":[0.9991294,0.000166872,0.00008894168,0.0001593541,0.0002883379,0.00016705],"domain_scores_gemma":[0.9994907,0.0001574555,0.00008173717,0.000112312,0.00009545474,0.00006233218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000066916,0.0002568183,0.01514993,0.000007280965,0.00004903724,0.00001071864,0.09956421,0.000129374,0.0003365577,0.5788988,0.3035164,0.002013885],"study_design_scores_gemma":[0.0002319641,0.00005482335,0.003009999,0.0000192273,0.000006445634,5.833472e-7,0.005168988,0.00004190131,0.00008323712,0.001218535,0.9900517,0.0001125213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1008854,0.00002887588,0.00212019,0.0205584,0.001502662,0.0005138605,0.000009528137,0.0003009675,0.8740801],"genre_scores_gemma":[0.9727871,0.00002132531,0.0001466438,0.007377943,0.0005074312,0.00001457815,0.00001610671,0.00001049047,0.01911836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8719017,"threshold_uncertainty_score":0.9990891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057456074328349,"score_gpt":0.3337365513366309,"score_spread":0.3031619905933475,"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."}}