{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004298159,0.001410481,0.0007767551,0.006893502,0.003221354,0.004401627,0.002375598,0.0005928777,0.3489304],"category_scores_gemma":[0.002594889,0.000797197,0.0006070458,0.01925492,0.0005513119,0.001840285,0.001755096,0.0007649649,0.2171924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123109,"about_ca_system_score_gemma":0.02949486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9015664,"about_ca_topic_score_gemma":0.9250119,"domain_scores_codex":[0.9988829,0.00002391947,0.00003059936,0.000120383,0.0007822781,0.0001598568],"domain_scores_gemma":[0.9979539,0.00005659416,0.00004516407,0.0001618861,0.001593025,0.0001892933],"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":[0.00003201641,0.00001133898,0.0007734545,0.0001234878,0.000004398612,0.00003750831,0.0001406179,0.0004096816,0.000281603,0.003106472,0.9372122,0.05786722],"study_design_scores_gemma":[0.000006732499,0.000002301498,0.002226821,0.00004003437,0.000003353223,0.00003213173,0.00009012126,0.0004124555,0.0004553,0.0005415865,0.9961721,0.00001698837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001850259,0.0003723721,0.007275339,0.0002433982,0.0001431783,0.0002562908,0.5712555,0.01069828,0.4079053],"genre_scores_gemma":[0.01453752,0.001145836,0.02108915,0.0001462707,0.00006992553,0.0003092141,0.5518377,0.007373292,0.4034911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3489304,"threshold_uncertainty_score":0.9286718,"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."}}