{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002191963,0.0005980321,0.0006253419,0.001766119,0.0009473171,0.003666597,0.001605928,0.00402015,0.007797075],"category_scores_gemma":[0.002001547,0.0002246401,0.0005122081,0.001754035,0.003481298,0.005506738,0.002716123,0.003278714,0.002419733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760662,"about_ca_system_score_gemma":0.003785542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902018,"about_ca_topic_score_gemma":0.006695695,"domain_scores_codex":[0.9992786,0.0003771739,0.00003861441,0.0001044219,0.0001387541,0.00006249425],"domain_scores_gemma":[0.9992306,0.000416824,0.00008247068,0.00004747573,0.0001279314,0.00009467211],"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":[0.00004275935,0.00006542347,0.000486541,0.01212909,0.0001066932,0.0003358098,0.003117012,0.0002711226,0.0006594983,0.2495464,0.09908287,0.6341569],"study_design_scores_gemma":[0.000003114159,0.00002446978,0.0004211971,0.003714806,0.00002646008,0.0003626485,0.0009267967,0.00002541607,0.0001072125,0.01141062,0.982968,0.000009380838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006239326,0.957732,0.001920588,0.01704311,0.002221669,0.00001781632,0.0000531146,0.00003712564,0.02035063],"genre_scores_gemma":[0.02201506,0.9523987,0.003339865,0.01036162,0.001280015,0.00006147481,0.00008682387,0.00002554434,0.01043085],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007797075,"threshold_uncertainty_score":0.02608377,"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."}}