{"id":"W3012228850","doi":"10.3390/ani10030502","title":"Humanity’s Best Friend: A Dog-Centric Approach to Addressing Global Challenges","year":2020,"lang":"en","type":"review","venue":"Animals","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute on Aging; Arts and Humanities Research Council; National Institutes of Health; Annenberg Foundation","keywords":"Humanity; Environmental ethics; Domestication; Canis; Natural (archaeology); Space (punctuation); The arts; Sociology; Geography; Social science; Ecology; Political science; Biology; Archaeology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001468632,0.0005941096,0.001315401,0.00008138724,0.0001837858,0.0001133692,0.000523872,0.0003743367,0.00004386913],"category_scores_gemma":[0.0002191953,0.0005339275,0.0005031948,0.0002371759,0.00006228788,0.000005210101,0.0007039273,0.0002793665,0.0006741434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086779,"about_ca_system_score_gemma":0.000145127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001600501,"about_ca_topic_score_gemma":0.00003006955,"domain_scores_codex":[0.9974819,0.0001871057,0.0005674206,0.001058185,0.000245173,0.0004602018],"domain_scores_gemma":[0.9988675,0.00002541689,0.0003051992,0.0004558328,0.0001330475,0.0002130636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006407387,0.0004897671,0.000006336811,0.01026052,0.001801939,0.00007325877,0.0004078499,8.914306e-7,0.0003035099,0.002919612,0.02799598,0.9556763],"study_design_scores_gemma":[0.0001060103,0.0003687541,0.0000118902,0.001100797,0.000386521,0.00009027448,0.0002884251,4.504738e-7,0.00002605937,0.000008416695,0.9971039,0.0005085386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003737893,0.9295667,0.00005464302,0.00005335013,0.0001846844,0.0006036815,0.0001680816,0.00004084319,0.06929057],"genre_scores_gemma":[0.001686234,0.9956184,0.0005110694,0.000156285,0.001246823,0.000204809,0.0001294476,0.0000732568,0.0003736478],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9691079,"threshold_uncertainty_score":0.9997112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1856805043638739,"score_gpt":0.4441132636109197,"score_spread":0.2584327592470458,"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."}}