{"id":"W6912946080","doi":"10.5683/sp3/vunaff","title":"Chute Des Passes Quebec. 1:50,000. Map Sheet 022E14, ed. 1, 1982","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; Natural (archaeology); Aerial photography; Government (linguistics); Orthophoto; Digital mapping","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":[0.0005448982,0.002242314,0.001482334,0.005378835,0.001579779,0.003185017,0.002209051,0.0007643,0.1455881],"category_scores_gemma":[0.002864428,0.0008923524,0.0007034047,0.02372045,0.0004265895,0.001146466,0.0008608502,0.001353282,0.09064544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01302014,"about_ca_system_score_gemma":0.01834398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9669433,"about_ca_topic_score_gemma":0.9766368,"domain_scores_codex":[0.9992688,0.00003887627,0.00004610485,0.0001810761,0.0002726184,0.0001924754],"domain_scores_gemma":[0.9975665,0.0001299839,0.0001477114,0.0002617846,0.001683229,0.0002108716],"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":[0.00001686373,0.000005144959,0.0007695457,0.0001598085,0.000009841934,0.00001095858,0.00002044205,0.0001067638,0.00002826416,0.000201806,0.9951557,0.003514907],"study_design_scores_gemma":[0.00004907704,0.000004550879,0.0188011,0.0002276567,0.00001252497,0.00002333451,0.0001258078,0.0002486751,0.0001219246,0.0002157243,0.980144,0.00002560896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008663941,0.00005488544,0.00002744006,0.0000265671,0.00001345027,0.000005833786,0.9979073,0.0001009377,0.00177703],"genre_scores_gemma":[0.0009489169,0.0001404504,0.0002169575,0.00002785071,0.000005947597,0.00004922869,0.9913488,0.00009288466,0.007168893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1455881,"threshold_uncertainty_score":0.4870408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067570454229851,"score_gpt":0.2732415335888781,"score_spread":0.2525658290465796,"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."}}