{"id":"W6931966901","doi":"10.5683/sp3/2nqohz","title":"PCCF and its Use with GIS","year":2006,"lang":"en","type":"dataset","venue":"Borealis","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"File Transfer Protocol; Code (set theory); Geographic information system; Data file; Work (physics); Data conversion","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007476418,0.0001975546,0.0002044092,0.00008199906,0.0001049153,0.0005194693,0.0005331582,0.0001200792,0.000006122912],"category_scores_gemma":[0.00002003496,0.0001482635,0.000021495,0.0001484697,0.00003795117,0.0004710116,0.0001982327,0.0001563259,0.000005077672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435072,"about_ca_system_score_gemma":0.00009401036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784639,"about_ca_topic_score_gemma":0.00458383,"domain_scores_codex":[0.99897,0.00002194671,0.0001334795,0.0004082382,0.0002511714,0.0002151294],"domain_scores_gemma":[0.9991584,0.00003880314,0.0001319132,0.0005300352,0.00006369367,0.00007713972],"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":[0.000001513107,0.00001200838,0.000005478679,0.00005554262,0.000008193771,0.0000677338,0.00001158209,0.000002393866,6.797306e-7,0.00022358,0.9980666,0.001544671],"study_design_scores_gemma":[0.0001182592,0.00002828345,0.0003394166,0.0001005634,0.00001840768,0.00003934639,5.391341e-7,0.0001309245,0.00002169996,0.00006395898,0.9989186,0.0002200359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001652547,0.0002509634,0.002850049,0.0002734331,0.00004020458,0.00007847279,0.9960557,0.00005775201,0.0003768884],"genre_scores_gemma":[0.00001811483,0.0000620248,0.002515935,0.0009992098,0.0001181801,0.000008497722,0.9960762,0.000008866043,0.0001929261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01326256,"threshold_uncertainty_score":0.9886938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205197652052708,"score_gpt":0.2354770650818563,"score_spread":0.2134250885613292,"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."}}