{"id":"W6931705022","doi":"10.5683/sp3/irt28k","title":"Takysie Lake British Columbia. 1:50,000. Map Sheet 093F13, ed. 1, 1970","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Natural (archaeology); Raster graphics; Topographic map (neuroanatomy); Aerial photography; Government (linguistics); Viewshed analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0003376555,0.001611229,0.001182087,0.005364957,0.001571298,0.002911184,0.001461892,0.0005364103,0.1165681],"category_scores_gemma":[0.002284496,0.0008121898,0.0004774445,0.0289971,0.0003648432,0.0008809171,0.0009488988,0.001125063,0.07707205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008849664,"about_ca_system_score_gemma":0.01792757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9529344,"about_ca_topic_score_gemma":0.970543,"domain_scores_codex":[0.9995229,0.00002135906,0.00003945756,0.0001008654,0.0001781634,0.0001372991],"domain_scores_gemma":[0.9983183,0.00008299854,0.0001047729,0.0001295446,0.001183246,0.0001810944],"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":[0.00001767145,0.000003920047,0.0009219405,0.000231199,0.000008586078,0.00001481885,0.0000292034,0.00007012315,0.0000275573,0.0001839628,0.9940143,0.004476882],"study_design_scores_gemma":[0.0000366363,0.000003274248,0.02421254,0.0002712307,0.00001426409,0.00002914042,0.0002583212,0.000142758,0.0001149989,0.0002137357,0.9746817,0.00002142443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001476169,0.00008996172,0.00002166137,0.00003359146,0.00001384232,0.000006634636,0.9969506,0.00007271516,0.002663389],"genre_scores_gemma":[0.001248741,0.0003041311,0.0002076056,0.00002909605,0.000006128764,0.00006556472,0.9867601,0.00007855231,0.01130002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1165681,"threshold_uncertainty_score":0.3899593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991614124573742,"score_gpt":0.3315818077839887,"score_spread":0.3016656665382512,"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."}}