{"id":"W7055468037","doi":"","title":"Canada VMap1, Library 19: Landform Points","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Landform; Product (mathematics); Vector map; Topographic map (neuroanatomy); Geographic information system; Digital mapping; Natural (archaeology)","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":[0.00000690776,0.0002422191,0.0001726628,0.0001283215,0.00007204877,0.00006611294,0.0006400114,0.00006742546,0.0007778108],"category_scores_gemma":[0.000002856782,0.0001697731,0.00008236738,0.0001738623,0.00007269274,0.0001502722,0.0001264894,0.0001539875,0.0005778234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008723987,"about_ca_system_score_gemma":0.0003999111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03920563,"about_ca_topic_score_gemma":0.06084678,"domain_scores_codex":[0.9993231,0.00000952658,0.00007938801,0.0001878362,0.0001414753,0.0002587042],"domain_scores_gemma":[0.9993487,0.00005760074,0.0000435463,0.0003109856,0.000003520174,0.0002356243],"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":[0.000005887214,0.00000516672,0.00002426136,0.00001498961,0.0001028707,0.00001974022,0.00004724118,0.00001539982,0.000004710619,0.004329458,0.9937561,0.001674165],"study_design_scores_gemma":[0.0002615366,0.000005573886,0.00004671444,0.00006825531,0.00002251376,0.000003371734,0.00005979272,0.00001668384,0.0000232133,0.0008226879,0.9984112,0.0002584671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002237584,0.00003752168,0.002043194,0.0006858861,0.00008903573,0.0002229807,0.01071911,0.0005412961,0.9856386],"genre_scores_gemma":[0.0007792905,0.00005051954,0.0001647808,0.0001163187,0.0002197917,9.242817e-7,0.001144829,0.0001735768,0.99735],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02164115,"threshold_uncertainty_score":0.9671924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036576981636614,"score_gpt":0.1643444181487145,"score_spread":0.1539786483323484,"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."}}