{"id":"W4392084400","doi":"10.1080/2373566x.2023.2275668","title":"Moments","year":2024,"lang":"en","type":"article","venue":"GeoHumanities","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","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":[0.0003785359,0.0005891198,0.0002366253,0.0005404104,0.005872327,0.003037138,0.000602136,0.001239838,0.07543284],"category_scores_gemma":[0.002160678,0.0002099361,0.0003784003,0.0005332441,0.00203402,0.002629858,0.003700206,0.002430237,0.01562959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133406,"about_ca_system_score_gemma":0.000833983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770066,"about_ca_topic_score_gemma":0.01135778,"domain_scores_codex":[0.9995078,0.0001667848,0.00001606347,0.00005887649,0.0001054354,0.0001449854],"domain_scores_gemma":[0.9993925,0.0001606348,0.00004854085,0.00005963479,0.0001118101,0.00022691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003807687,0.0000909351,0.001054299,0.0004556848,0.00001184363,0.002261656,0.1051276,0.0001855486,0.002953432,0.1198348,0.7169569,0.05068658],"study_design_scores_gemma":[0.000002592261,0.00001935778,0.0004362379,0.0000899036,0.00000167019,0.0003340898,0.01504512,0.00002495314,0.0003439698,0.001570375,0.9821221,0.000009754938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0421372,0.002730119,0.005064078,0.01406649,0.01051448,0.0003687977,0.004547211,0.0008024322,0.9197691],"genre_scores_gemma":[0.3689678,0.002607961,0.005251743,0.006240644,0.00181603,0.0003857111,0.002853891,0.0007687032,0.6111076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07543284,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813557521794162,"score_gpt":0.3296738005758413,"score_spread":0.2815382253578997,"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."}}