{"id":"W2106099288","doi":"","title":"Look beyond the skid-row image","year":2000,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Skid (aerodynamics); Computer science; Operations research; Art history; Data science; History; Archaeology; Engineering","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":[0.001273854,0.0005245229,0.0004053127,0.001132573,0.01740237,0.01104802,0.0008000755,0.003150299,0.05046934],"category_scores_gemma":[0.006350105,0.0002547641,0.0002317631,0.0007697623,0.01015855,0.005733665,0.004762194,0.008529325,0.01256537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009450992,"about_ca_system_score_gemma":0.008984935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.238072,"about_ca_topic_score_gemma":0.4773774,"domain_scores_codex":[0.9987488,0.0002973239,0.00001506081,0.0001067262,0.0004611767,0.0003710758],"domain_scores_gemma":[0.9970054,0.0003507399,0.00009212985,0.0001626047,0.001164903,0.001224316],"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":[0.00003106576,0.00001139519,0.000758793,0.00005919373,0.000006704993,0.0002564972,0.009531585,0.00002073673,0.0001490873,0.04823183,0.9128907,0.02805245],"study_design_scores_gemma":[0.000003356492,0.000006416345,0.0004770072,0.00021318,0.000004368338,0.0002246056,0.01522924,0.00001833007,0.00009178582,0.008490721,0.9752297,0.00001124307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00829707,0.01745304,0.001766951,0.5539283,0.01577107,0.00001561254,0.0002111288,0.0002583436,0.4022985],"genre_scores_gemma":[0.2930861,0.01334,0.001655162,0.1821512,0.005733132,0.00002951307,0.0001943063,0.0008916536,0.5029189],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.761928,"threshold_uncertainty_score":0.4733726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008492416127532649,"score_gpt":0.2010787637724047,"score_spread":0.192586347644872,"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."}}