{"id":"W6994058743","doi":"","title":"Machine for Access","year":2016,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Architecture; Snapshot (computer storage); Transportation planning; Public transport; Ground transportation; Real estate; Dimension (graph theory); Free flow","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008508774,0.001989409,0.001529369,0.001938305,0.0009683287,0.003798125,0.002074731,0.001985295,0.8476909],"category_scores_gemma":[0.007407942,0.0007765956,0.001112875,0.001427248,0.000688081,0.004142001,0.005713864,0.001877004,0.8187571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006888142,"about_ca_system_score_gemma":0.001015428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453922,"about_ca_topic_score_gemma":0.003408848,"domain_scores_codex":[0.9991838,0.00008914459,0.00004464008,0.000253121,0.000257289,0.0001719732],"domain_scores_gemma":[0.9974906,0.0005029097,0.00009550562,0.0009318268,0.0004252078,0.000553926],"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":[0.00006569519,0.00002691104,0.0001241757,0.00008737555,0.000008484171,0.00003789256,0.00002793772,0.0001327167,0.0004663263,0.002286947,0.9395133,0.0572223],"study_design_scores_gemma":[0.00009742415,0.00002987393,0.0003724374,0.0001038487,0.00001476223,0.00008568192,0.00003259322,0.003902729,0.001169336,0.01277452,0.98138,0.00003660412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001324964,0.0006402066,0.04835394,0.002149281,0.001875915,0.0005205051,0.04856098,0.3446524,0.5519219],"genre_scores_gemma":[0.02187709,0.0006098508,0.02116236,0.00199971,0.0008205203,0.0009319867,0.04510161,0.0464257,0.8610711],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8476909,"threshold_uncertainty_score":0.2172505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337600445666471,"score_gpt":0.1871204529644589,"score_spread":0.1737444485077942,"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."}}