{"id":"W7053445737","doi":"","title":"Urban Zoo - Episode 12 - Hunting Cormorants & Pet Food for Food Banks","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pet food; Breed; Food supply; Food processing; Food habits; Animal welfare","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":[0.0002449952,0.0004394389,0.0001934329,0.0005081606,0.002271731,0.001331115,0.0005825701,0.0009538166,0.4799527],"category_scores_gemma":[0.0003735988,0.0002769811,0.0001504255,0.0005614282,0.0002655959,0.0006610416,0.001388343,0.0009659593,0.1996752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009710353,"about_ca_system_score_gemma":0.001016709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02664128,"about_ca_topic_score_gemma":0.2353711,"domain_scores_codex":[0.9997668,0.00001494725,0.000003636603,0.00002233278,0.0001222699,0.00007001154],"domain_scores_gemma":[0.999513,0.00001959808,0.00001811136,0.00002305517,0.0001854972,0.0002407148],"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":[0.0000378627,0.0000282141,0.000551435,0.00004768266,0.00000110176,0.00009409473,0.00009391202,0.00002124517,0.0006559149,0.0005100878,0.9736963,0.02426204],"study_design_scores_gemma":[0.000004207222,0.00002118911,0.00260136,0.0000284401,9.802476e-7,0.00007465129,0.000327686,0.00003760045,0.0004200532,0.00006274907,0.9964169,0.000004190992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006494188,0.000921346,0.0009674407,0.002467288,0.0014363,0.0002371385,0.003244069,0.001453705,0.9827785],"genre_scores_gemma":[0.005913555,0.0002637672,0.0004365925,0.0002662865,0.00007254829,0.00002613767,0.001155339,0.000192207,0.9916735],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4799527,"threshold_uncertainty_score":0.7417843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075332456820987,"score_gpt":0.1800737555302441,"score_spread":0.1693204309620342,"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."}}