{"id":"W6969231092","doi":"10.5281/zenodo.6390958","title":"Animal Embodiment Data. Justin Beaver VR and Justin Beaver Survivor","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beaver; Empathy; Virtual reality; Avatar; Ecocriticism","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":[0.0007119916,0.0006737525,0.0004310883,0.001946619,0.0006944729,0.001985607,0.0007393725,0.001137937,0.1240098],"category_scores_gemma":[0.002187568,0.0003892827,0.0003414407,0.001909666,0.000544787,0.001811984,0.001141728,0.001546823,0.03031459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004607082,"about_ca_system_score_gemma":0.0005610721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102356,"about_ca_topic_score_gemma":0.01373868,"domain_scores_codex":[0.9996461,0.00003592196,0.00002830072,0.00006742508,0.0001965352,0.00002577951],"domain_scores_gemma":[0.9986801,0.0005738514,0.00006715634,0.000128293,0.0004217466,0.0001288097],"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":[0.0001228334,0.00003279395,0.000386822,0.0003261852,0.00001041706,0.0001068007,0.0001894705,0.0001194719,0.001418655,0.004501462,0.8629088,0.1298762],"study_design_scores_gemma":[0.000005282317,0.00001241805,0.0007124076,0.00007269697,0.00000436144,0.0001396843,0.00004795921,0.0000486016,0.0004512388,0.0006106927,0.9978892,0.000005483749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.01106874,0.09334917,0.03209237,0.1069457,0.08229482,0.0002727198,0.07228491,0.006813904,0.5948777],"genre_scores_gemma":[0.02977953,0.03949955,0.009285371,0.008247734,0.008375351,0.0001922787,0.02462308,0.002410408,0.8775868],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1240098,"threshold_uncertainty_score":0.4148542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05070933127350779,"score_gpt":0.2313839086648775,"score_spread":0.1806745773913697,"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."}}