{"id":"W4388688366","doi":"10.1139/cjz-2023-0019","title":"The individual color pattern on the back of <i>Bufotes viridis balearicus</i> (Boettger, 1880) allows individual photo-identification recognition for population studies","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Identification (biology); Software; Quality (philosophy); Software quality; Reliability (semiconductor); Adaptability; Wildlife; Artificial intelligence; Ecology; Computer science; Software development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000340446,0.000342755,0.0002321257,0.0011709,0.0005328313,0.0004775629,0.0003038314,0.0004071999,0.003032168],"category_scores_gemma":[0.0007693964,0.0001670158,0.0002003754,0.0004290023,0.000421385,0.0004524237,0.0004812525,0.0003431156,0.0008317156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221389,"about_ca_system_score_gemma":0.0002272344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004168975,"about_ca_topic_score_gemma":0.01824782,"domain_scores_codex":[0.9997311,0.00004034735,0.00001041148,0.0001038495,0.00008258654,0.00003171872],"domain_scores_gemma":[0.9995217,0.0001144885,0.0001727223,0.00004655651,0.00009869538,0.00004578701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003500198,0.0001087279,0.2649686,0.0006393868,0.00009811544,0.0007444974,0.001643389,0.0008714231,0.3336125,0.001114682,0.003469682,0.392379],"study_design_scores_gemma":[0.000009555997,0.0003800725,0.9204848,0.0002028736,0.0001522731,0.004290394,0.002006976,0.002634736,0.04537106,0.0006765252,0.02372595,0.00006466235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518585,0.001410994,0.02205683,0.0001936919,0.0001164681,0.00008186264,0.0009182637,0.0003708858,0.02299254],"genre_scores_gemma":[0.9694111,0.0002761985,0.02634674,0.00009878448,0.00002235447,0.00004943821,0.0003648766,0.00005621478,0.003374347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004168975,"threshold_uncertainty_score":0.01014364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05872663343417771,"score_gpt":0.2596920671508499,"score_spread":0.2009654337166721,"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."}}