{"id":"W2994829953","doi":"10.21810/pop.2019.003","title":"Who's There? Developing a Toolkit to Model People, Places, and Concepts in the Rijeka in Flux Map","year":2019,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Aggregate (composite); Key (lock); Digital mapping; Computer science; Data science; Cartography; Geography; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008738817,0.0004596609,0.000255922,0.001414096,0.001168886,0.003646846,0.0009294027,0.0008395999,0.004299849],"category_scores_gemma":[0.002101197,0.0004153478,0.0009643947,0.001099277,0.001038447,0.004148682,0.003036121,0.001043752,0.001530877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195591,"about_ca_system_score_gemma":0.001847278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03821892,"about_ca_topic_score_gemma":0.08224182,"domain_scores_codex":[0.9996839,0.0001099736,0.0000309387,0.00007939721,0.00005920321,0.00003656738],"domain_scores_gemma":[0.9996087,0.0001703642,0.00003002743,0.00007986205,0.00006234688,0.00004874677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002307889,0.0003235449,0.02499801,0.0008697893,0.0002181613,0.001588504,0.02902081,0.1729985,0.008704009,0.408773,0.03566993,0.3166049],"study_design_scores_gemma":[0.00003718124,0.00004137793,0.005537824,0.0003116798,0.00008943344,0.0005985086,0.0103383,0.4973176,0.004967791,0.1262444,0.3544029,0.0001129159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03373537,0.0002479323,0.930622,0.001108185,0.0001098802,0.0003458303,0.002858659,0.006064075,0.02490808],"genre_scores_gemma":[0.1825602,0.0003743559,0.8024857,0.0001393925,0.00001280356,0.0004040906,0.00311319,0.0005573481,0.01035282],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03821892,"threshold_uncertainty_score":0.07599294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09207977879660978,"score_gpt":0.3811973009169835,"score_spread":0.2891175221203737,"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."}}