{"id":"W2742587188","doi":"10.5539/ells.v7n3p43","title":"Animals in Walden","year":2017,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Thoreau and American Literature","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Environmentalism; Symbol (formal); Environmental ethics; Aesthetics; Sociology; History; Art; Philosophy; Law; Political science","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":[0.0005026253,0.0003269385,0.000217084,0.00269957,0.005920239,0.00601309,0.0003946151,0.001314639,0.009966024],"category_scores_gemma":[0.001762218,0.0001614791,0.0001532745,0.002652498,0.005148843,0.004159843,0.001431268,0.001175147,0.001783428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003416672,"about_ca_system_score_gemma":0.00176793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0302331,"about_ca_topic_score_gemma":0.07091103,"domain_scores_codex":[0.9994319,0.0001801972,0.00002876179,0.00007575114,0.0001526072,0.0001307966],"domain_scores_gemma":[0.9996259,0.0001698712,0.00004339582,0.00001653197,0.0000771761,0.00006705527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004023459,0.00004485284,0.00223543,0.0004570873,0.000014248,0.001817284,0.08666195,0.00007183524,0.0009589475,0.5495088,0.2407723,0.1174171],"study_design_scores_gemma":[9.94714e-7,0.00000499517,0.0009393647,0.0002583322,0.000003144603,0.0001657448,0.0102931,0.00001459383,0.00008563611,0.002591244,0.9856367,0.000006145272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07030279,0.2623413,0.001356537,0.07056458,0.008998744,0.00002563627,0.0002681506,0.0001453369,0.5859969],"genre_scores_gemma":[0.5346217,0.113964,0.001184771,0.01389831,0.002948921,0.00004509846,0.0002991467,0.0001336249,0.3329045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0302331,"threshold_uncertainty_score":0.0601142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008980834545696464,"score_gpt":0.2908269054461819,"score_spread":0.2818460709004854,"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."}}