{"id":"W6976765682","doi":"10.60692/xm8g2-z7q67","title":"IMPROVING DATA QUALITY AND MANAGEMENT FOR REMOTE SENSING ANALYSIS: USE-CASES AND EMERGING RESEARCH QUESTIONS","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Data quality; Data management; Geospatial analysis; Data modeling; Data integration; Big data; Data virtualization; Quality (philosophy)","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":[0.03906759,0.0008232429,0.000841766,0.003658148,0.001337865,0.00951097,0.002988936,0.003341222,0.002031001],"category_scores_gemma":[0.04929772,0.0004894744,0.0009318299,0.009162092,0.004884726,0.01280116,0.002761503,0.002053313,0.00042404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003789481,"about_ca_system_score_gemma":0.004729451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006251832,"about_ca_topic_score_gemma":0.004341003,"domain_scores_codex":[0.9775831,0.01247143,0.001496113,0.001634606,0.006059028,0.0007558254],"domain_scores_gemma":[0.9214284,0.04812989,0.006857106,0.008847635,0.01354911,0.001187789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003183626,0.0007691557,0.09709398,0.005052352,0.0002180303,0.0007198972,0.004527867,0.0197387,0.006071304,0.1710881,0.0138872,0.6805151],"study_design_scores_gemma":[0.0001607781,0.001187304,0.08296298,0.009099269,0.0003911925,0.002202068,0.03129531,0.303779,0.0499879,0.3687479,0.14978,0.0004063378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2774679,0.09570047,0.447075,0.1412994,0.0007305114,0.0008542837,0.0008473216,0.001069727,0.03495558],"genre_scores_gemma":[0.7512533,0.02768587,0.2166293,0.001556812,0.0006422647,0.0001921789,0.0004925841,0.000154243,0.001393502],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03906759,"threshold_uncertainty_score":0.2066116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2647868819306809,"score_gpt":0.3542100414340522,"score_spread":0.08942315950337126,"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."}}