{"id":"W3111003045","doi":"10.3390/ani10122371","title":"Turning Negatives into Positives for Pet Trading and Keeping: A Review of Positive Lists","year":2020,"lang":"en","type":"review","venue":"Animals","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo; World Wildlife Fund Canada","funders":"","keywords":"Listing (finance); Animal welfare; Context (archaeology); Legislation; Business; Safeguarding; Public health; False positive paradox; Public economics; Public relations; Political science; Medicine; Law; Economics; Finance; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006134222,0.0007978558,0.001741518,0.006334838,0.0005457128,0.002160926,0.001481914,0.00142902,0.004587344],"category_scores_gemma":[0.01497186,0.0005211607,0.001299192,0.005764036,0.001611039,0.003343187,0.001104837,0.001527719,0.0008030732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622669,"about_ca_system_score_gemma":0.004347267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003506762,"about_ca_topic_score_gemma":0.01059085,"domain_scores_codex":[0.9969448,0.001133122,0.0008246109,0.0003044219,0.0007117687,0.00008119647],"domain_scores_gemma":[0.9823058,0.01406434,0.001461812,0.0002534684,0.001718262,0.0001964084],"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":[0.00008885351,0.00004854944,0.0004992867,0.1859618,0.0002931272,0.0001122085,0.0005466763,0.0001246827,0.0003502534,0.005875158,0.01267681,0.7934226],"study_design_scores_gemma":[0.00002924162,0.0001671699,0.003367362,0.2308084,0.001275346,0.0011265,0.0007863028,0.00007945293,0.0003866171,0.002471138,0.7594486,0.00005390794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001661201,0.9984453,0.00009861938,0.0003677764,0.0001229624,0.00001395922,0.00002810545,0.000003810513,0.0007533239],"genre_scores_gemma":[0.001694515,0.997328,0.0003255897,0.0003958057,0.00006911135,0.00001794547,0.00003610625,0.000002689051,0.0001301541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006334838,"threshold_uncertainty_score":0.03244126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175300282523501,"score_gpt":0.4333411292409431,"score_spread":0.315811100988593,"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."}}