{"id":"W6999090439","doi":"","title":"Canada VMap1, Library 16: Data Quality Lines","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Vector map; Geographic information system; Data quality; Quality (philosophy); Base (topology); Information system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001406294,0.0002693097,0.0003337778,0.0002384658,0.0006126753,0.000208289,0.00249712,0.0001103266,0.0006200051],"category_scores_gemma":[0.0001039822,0.0001874788,0.0001105283,0.0004496308,0.0006725884,0.0008094163,0.001159291,0.0001704209,0.0003233799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138468,"about_ca_system_score_gemma":0.0019856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8152723,"about_ca_topic_score_gemma":0.9061525,"domain_scores_codex":[0.9982197,0.0001597416,0.0002245799,0.0003479754,0.0006285396,0.0004194666],"domain_scores_gemma":[0.9983044,0.0002911225,0.0003938331,0.0007518185,0.00003495367,0.0002238188],"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":[0.00001286022,0.000006888826,0.0008753283,0.00001830087,0.0001767725,0.000005738879,0.001555171,1.968624e-7,5.059614e-8,0.02725388,0.9676228,0.002471995],"study_design_scores_gemma":[0.0002169671,0.000005552364,0.0003032261,0.0001164523,0.00002526631,5.342474e-7,0.01157948,2.104144e-7,1.993182e-7,0.0007613857,0.9867085,0.0002822626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002106049,0.00008734356,0.0002548526,0.004000269,0.0003695682,0.0003842585,0.02029296,0.000270759,0.9743189],"genre_scores_gemma":[0.00176833,0.0001318543,0.00006264802,0.0001972512,0.0006338127,4.824265e-7,0.00184575,0.00006041776,0.9952995],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09088024,"threshold_uncertainty_score":0.7645164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0641679987389519,"score_gpt":0.2736871458552839,"score_spread":0.209519147116332,"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."}}