{"id":"W6998944538","doi":"","title":"Canada VMap1, Library 66: Lock Lines","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Vector map; Lock (firearm); Base (topology); Geographic information system; Digital mapping; National library","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":[0.0008799223,0.001142367,0.0006525278,0.005954486,0.005863509,0.007779889,0.002618483,0.0007499219,0.6077721],"category_scores_gemma":[0.006884133,0.0009415286,0.0004959549,0.01806864,0.0009468998,0.002817346,0.002065997,0.0009963039,0.4034002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02200144,"about_ca_system_score_gemma":0.06455237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9254755,"about_ca_topic_score_gemma":0.9378753,"domain_scores_codex":[0.9981897,0.00006474525,0.00006168016,0.0002044518,0.001169604,0.0003098409],"domain_scores_gemma":[0.9927574,0.0002276478,0.0001338262,0.0006035143,0.005521665,0.0007558995],"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":[0.00002295442,0.000009334212,0.0002546948,0.00005546614,0.000001417042,0.00001762547,0.0001010304,0.00007792533,0.00009000374,0.002439297,0.9697374,0.02719288],"study_design_scores_gemma":[0.000004913862,0.000002106454,0.0008563098,0.00002100124,0.000001345677,0.00001342942,0.00008201534,0.00006462511,0.0001475741,0.0002154232,0.9985824,0.000009004749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001284326,0.0003104194,0.002330106,0.0007555106,0.0002641707,0.0002990265,0.1805758,0.007933398,0.8062471],"genre_scores_gemma":[0.005557478,0.0005279299,0.003858006,0.000232369,0.00005823853,0.0001614836,0.07937649,0.004100896,0.9061272],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6077721,"threshold_uncertainty_score":0.5594655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746495996903207,"score_gpt":0.2096234550722925,"score_spread":0.1921584951032604,"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."}}