{"id":"W6968997683","doi":"10.5683/sp3/bu5fhy","title":"Otter Creek (West) British Columbia. 1:50,000. Map Sheet 093I05, ed. 1, 1967","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Viewshed analysis; Geographic information system; Natural (archaeology); Aerial photography; Topographic map (neuroanatomy)","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":[0.0003541165,0.001734064,0.001269679,0.005000768,0.001800529,0.004236612,0.001632804,0.0006350969,0.1588157],"category_scores_gemma":[0.002322138,0.0008582028,0.0005114853,0.02365068,0.0004082626,0.00117254,0.001044211,0.001301326,0.1260954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008199004,"about_ca_system_score_gemma":0.01558128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9281732,"about_ca_topic_score_gemma":0.9640626,"domain_scores_codex":[0.9994036,0.0000234612,0.00004532614,0.0001643057,0.0002110566,0.0001522109],"domain_scores_gemma":[0.9981222,0.00009535306,0.0001244307,0.0001968192,0.001273466,0.0001876411],"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":[0.00001643379,0.000003199189,0.0005782998,0.000183373,0.000006485952,0.00001132476,0.00002392713,0.00005290549,0.0000261355,0.0001691864,0.9951154,0.003813162],"study_design_scores_gemma":[0.0000234597,0.000002091594,0.01060143,0.0002154727,0.00000975952,0.00001925463,0.0001631792,0.00007979749,0.0000934432,0.0001878337,0.9885867,0.00001745142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001069092,0.00008527637,0.00002627891,0.00002752375,0.00001612036,0.00000527451,0.9963925,0.0001180746,0.003222088],"genre_scores_gemma":[0.0009274709,0.0002178458,0.0001983226,0.00002651873,0.000005484801,0.00003800535,0.9863886,0.0001189148,0.01207868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1588157,"threshold_uncertainty_score":0.5312915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291944569912791,"score_gpt":0.2433791624718433,"score_spread":0.2304597167727153,"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."}}