{"id":"W7017650787","doi":"","title":"Canada VMap1, Library 16: Land Ice Areas","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); Vector map; Product (mathematics); Natural resource; Topographic map (neuroanatomy); Geographic information system; Digital mapping; Digital elevation model","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":[0.00005128625,0.0002458138,0.0002643416,0.0002681134,0.000565429,0.0001746765,0.000929183,0.0001007904,0.0008650233],"category_scores_gemma":[0.0000324411,0.0001711271,0.0001353868,0.0004063144,0.0004901321,0.0004270605,0.0003017954,0.0001527353,0.0004352584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425922,"about_ca_system_score_gemma":0.001393525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7370457,"about_ca_topic_score_gemma":0.8741401,"domain_scores_codex":[0.9986448,0.00008131228,0.0001392125,0.000223246,0.000503006,0.0004083694],"domain_scores_gemma":[0.999059,0.0001743234,0.0002563238,0.0002544357,0.00002780189,0.0002280733],"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":[0.00001292847,0.000005183955,0.002347596,0.00001205602,0.0001600403,0.00001233819,0.002165087,4.09163e-7,2.599488e-8,0.0205841,0.9733306,0.001369648],"study_design_scores_gemma":[0.0002519541,0.000008259465,0.0004314046,0.0001362967,0.0000249192,0.000001211048,0.007910773,9.799127e-8,2.309336e-7,0.0007694028,0.990213,0.0002523995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004157046,0.00006607054,0.0001182282,0.002249385,0.0002877033,0.0003580099,0.003912357,0.0002383755,0.9927283],"genre_scores_gemma":[0.004262772,0.0000915632,0.00002116174,0.0001819894,0.0004233114,7.209764e-7,0.0002983106,0.00005940121,0.9946608],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1370944,"threshold_uncertainty_score":0.9471399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151448047141471,"score_gpt":0.2027894505218404,"score_spread":0.1876446458076933,"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."}}