{"id":"W6995362916","doi":"","title":"Adopt a pet!","year":2021,"lang":"en","type":"other","venue":"TSpace (University of Toronto)","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Work (physics); Context (archaeology); Perspective (graphical); Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000973632,0.0004123847,0.0002442121,0.0004414559,0.002559422,0.002348879,0.0006456652,0.002072959,0.4037169],"category_scores_gemma":[0.002838057,0.000269352,0.0003713299,0.0005164214,0.0008402485,0.002085991,0.002935182,0.002309439,0.2113404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218428,"about_ca_system_score_gemma":0.001427562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009993105,"about_ca_topic_score_gemma":0.04448562,"domain_scores_codex":[0.9994129,0.000121174,0.00001696863,0.0000724083,0.0002170676,0.0001595641],"domain_scores_gemma":[0.9985638,0.0001292208,0.00009894887,0.0001665971,0.0003238964,0.0007175643],"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":[0.00003429935,0.00005180949,0.001016274,0.00005855636,0.000003166708,0.000263686,0.0003442632,0.000008697959,0.0003304236,0.006250728,0.9435359,0.04810217],"study_design_scores_gemma":[0.000005270184,0.00001864722,0.001150739,0.00002866906,0.000002152824,0.0002819961,0.0003766778,0.000005928163,0.0000979543,0.0004116453,0.9976159,0.000004481449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003016897,0.001786675,0.0009189778,0.03508687,0.005499281,0.0001041988,0.001627668,0.0006230714,0.9513363],"genre_scores_gemma":[0.01062335,0.001438939,0.0006756606,0.01035716,0.0004501513,0.00005623777,0.0007561802,0.0002621531,0.9753803],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4037169,"threshold_uncertainty_score":0.8505254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568041378521644,"score_gpt":0.2929229836421322,"score_spread":0.2772425698569158,"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."}}