{"id":"W2270259459","doi":"","title":"Landscapes in Between: Environmental Change in Modern Italian Literature and Film by Monica Seger","year":2016,"lang":"en","type":"article","venue":"The Goose","topic":"Italian Literature and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Climate change; Geography; Environmental change; History; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007905482,0.0001334112,0.0001293116,0.00003543985,0.00007264806,0.0001255733,0.0001127079,0.0000724878,0.0003190816],"category_scores_gemma":[0.000002443367,0.00006472685,0.00003004845,0.00002386227,0.00008219398,0.0003009893,0.00003499433,0.0001406494,0.00003282469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001632898,"about_ca_system_score_gemma":0.000002080743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002320925,"about_ca_topic_score_gemma":0.0002811426,"domain_scores_codex":[0.9993834,0.00004503318,0.0001199259,0.0001689148,0.0000862418,0.0001965141],"domain_scores_gemma":[0.9997576,0.00002747991,0.00002916647,0.0001472991,0.000003710393,0.00003470532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154275,0.000231557,0.06076496,0.00006751741,0.00006330773,0.0000797946,0.8089899,2.394411e-7,0.002696075,0.02181076,0.06138072,0.04379972],"study_design_scores_gemma":[0.002102294,0.0001686677,0.03333204,0.0006822431,0.00003537301,0.00001286918,0.005221654,0.00004707062,0.0004861529,0.01115533,0.9460416,0.0007146611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780711,0.01112336,2.538635e-7,0.002752862,0.00006221779,0.0001900017,0.0006186629,0.00001795023,0.007163613],"genre_scores_gemma":[0.982322,0.00008862107,0.000001912426,0.0005319439,0.0003962181,0.00002701247,0.00006587447,0.00001251275,0.0165539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8846609,"threshold_uncertainty_score":0.3493719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187605376302833,"score_gpt":0.1927847573449928,"score_spread":0.1809087035819645,"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."}}