{"id":"W2980556879","doi":"","title":"AN INTERDISCIPLINARY FRAME FOR UNDERSTANDING VOLUNTEERED GEOGRAPHIC INFORMATION","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volunteered geographic information; Geography; Frame (networking); Cartography; Geographic information system; Geospatial analysis; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006396398,0.0005750697,0.0007165078,0.005124118,0.004890606,0.01615148,0.002468304,0.003719407,0.004711227],"category_scores_gemma":[0.006456496,0.000338359,0.0006436678,0.009454336,0.02760451,0.01698301,0.006576129,0.003928134,0.0005836182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005027786,"about_ca_system_score_gemma":0.005702432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007525862,"about_ca_topic_score_gemma":0.005195013,"domain_scores_codex":[0.9963972,0.002503393,0.000170563,0.0003291014,0.0002954305,0.0003043899],"domain_scores_gemma":[0.9940798,0.003612438,0.0005925361,0.0006059069,0.0004853097,0.0006240513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001511408,0.00000422812,0.0001253755,0.00002554936,9.344854e-7,0.00004422645,0.004690391,0.0001684292,0.00002164646,0.9921466,0.00072543,0.002045647],"study_design_scores_gemma":[0.000005707027,0.00001368087,0.0002918361,0.0002538555,0.000003727411,0.0001228927,0.01564251,0.001553766,0.00004473147,0.907802,0.07425293,0.0000124151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03405124,0.01377188,0.5372079,0.1137765,0.001970503,0.0004376664,0.0006384805,0.0002118749,0.2979341],"genre_scores_gemma":[0.8542784,0.009692078,0.1161216,0.004136058,0.001219812,0.0008191062,0.0004464191,0.0001006733,0.01318575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01615148,"threshold_uncertainty_score":0.03647929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587636057368359,"score_gpt":0.3275921506909581,"score_spread":0.3017157901172745,"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."}}