{"id":"W6950701952","doi":"10.5683/sp3/hmnypg","title":"Castlegar (East) British Columbia. 1:50,000. Map Sheet 082F05, ed. 1, 1965","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Government (linguistics); Geographic information system; Digital mapping; Aerial photography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000246652,0.0004960929,0.0006270601,0.00006343859,0.00053768,0.0003621796,0.0009814816,0.0005835365,0.02229253],"category_scores_gemma":[0.0001044763,0.0007925233,0.0003197365,0.0001216907,0.0002544816,0.000005911189,0.001117337,0.0004877197,0.00004122287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002985675,"about_ca_system_score_gemma":0.000198716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3946049,"about_ca_topic_score_gemma":0.6803338,"domain_scores_codex":[0.9967794,0.0001971599,0.0005293757,0.001163006,0.0005278375,0.0008032135],"domain_scores_gemma":[0.9979184,0.00002327359,0.0002704785,0.001425991,0.0001163253,0.000245586],"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":[0.00003156092,0.0001331936,0.0002679432,0.0001526024,0.0001802095,0.0003469125,0.00001349085,0.000005476629,0.00007955613,6.102446e-7,0.9976484,0.00114004],"study_design_scores_gemma":[0.0006396516,0.0007395481,0.00397155,0.00004264585,0.0002045495,0.0002870418,0.00007552079,5.079928e-7,0.000007782748,0.00001838671,0.9931384,0.0008744613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004410091,0.01562501,0.000002158088,0.0001372101,0.0009370312,0.000510066,0.9804212,0.00003906091,0.001887278],"genre_scores_gemma":[0.00005498173,0.008677268,0.00007719455,0.0008094595,0.001124815,0.0003578269,0.9772645,0.00007980787,0.0115542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2857289,"threshold_uncertainty_score":0.9994526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007721551898704022,"score_gpt":0.2174080790797365,"score_spread":0.2096865271810325,"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."}}