{"id":"W4388629423","doi":"10.15353/cfs-rcea.v10i3.676","title":"window, a mountain, a scape","year":2023,"lang":"fr","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scape; Window (computing); Geography; Computer science; World Wide Web; Botany; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009438525,0.0002927029,0.0003668292,0.001103947,0.01808493,0.006130734,0.0006892134,0.001643081,0.03369105],"category_scores_gemma":[0.003289121,0.0003889227,0.0002951706,0.002332841,0.005606008,0.006277138,0.003003054,0.003608333,0.002076051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007414898,"about_ca_system_score_gemma":0.01787806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7592883,"about_ca_topic_score_gemma":0.9260991,"domain_scores_codex":[0.9990766,0.0001474222,0.00001778187,0.0001024264,0.0003133689,0.0003424176],"domain_scores_gemma":[0.9985373,0.0001712536,0.00008352229,0.00009566348,0.0003194721,0.0007926981],"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":[0.000174451,0.00007502658,0.01504256,0.0001600523,0.00003027907,0.001536555,0.08025567,0.00006075537,0.001139859,0.09553618,0.7236172,0.08237157],"study_design_scores_gemma":[0.00001094142,0.0000304342,0.02322359,0.0002553864,0.0000109406,0.0003126104,0.1381114,0.00002229829,0.0001195784,0.004419626,0.8334541,0.0000291039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1214436,0.02232413,0.001386857,0.5144376,0.005351194,0.00007861961,0.001322293,0.000133181,0.3335225],"genre_scores_gemma":[0.6012365,0.02462933,0.001525481,0.03951664,0.001347115,0.00006412414,0.0003239523,0.0002517742,0.3311051],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7592883,"threshold_uncertainty_score":0.4842587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0878225176256549,"score_gpt":0.3069177833905168,"score_spread":0.2190952657648619,"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."}}