{"id":"W4292843993","doi":"10.3102/1439702","title":"Living the Animal Turn: Multispecies Pedagogical Encounters","year":2019,"lang":"en","type":"article","venue":"Proceedings of the 2019 AERA Annual Meeting","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.005207515,0.0004468782,0.0003700873,0.0007918582,0.02007174,0.008541745,0.001910267,0.004608203,0.01752729],"category_scores_gemma":[0.006704642,0.0003569756,0.0003777973,0.0004879546,0.01276818,0.006856329,0.01827521,0.005434026,0.001584641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316232,"about_ca_system_score_gemma":0.002374879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106209,"about_ca_topic_score_gemma":0.01346927,"domain_scores_codex":[0.9964611,0.002519377,0.00003261704,0.0002282521,0.0002509617,0.0005076397],"domain_scores_gemma":[0.9963766,0.001517634,0.0001827036,0.0001674037,0.0001575217,0.001598235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001005766,0.0002281193,0.004243218,0.0001890753,0.00004091045,0.003318902,0.6955455,0.0005839232,0.002916526,0.2148589,0.03591399,0.04206044],"study_design_scores_gemma":[0.00001052672,0.0001209414,0.001975802,0.0002716766,0.00001490669,0.0008883754,0.3451355,0.0005138734,0.0003347625,0.05531516,0.5953886,0.00002978517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3794024,0.003328796,0.02660663,0.07871819,0.003301061,0.0001203753,0.00007199935,0.0001911015,0.5082594],"genre_scores_gemma":[0.939747,0.001176468,0.007568843,0.006601196,0.0003278675,0.00008984435,0.00004348863,0.0001322205,0.04431316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02007174,"threshold_uncertainty_score":0.05863458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378071160717107,"score_gpt":0.2485390432565471,"score_spread":0.224758331649376,"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."}}