{"id":"W6892227023","doi":"10.5061/dryad.cc2fqz6c9","title":"Wing images used for testing new methods for estimating the total wing area of birds","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wing; Wing loading; Image processing","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":[0.001985693,0.004784901,0.002217866,0.004937973,0.001336004,0.002115274,0.003531932,0.003499226,0.02608598],"category_scores_gemma":[0.008025049,0.0009950261,0.002469152,0.00479542,0.0008283021,0.001543971,0.002091947,0.002052377,0.05048686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627168,"about_ca_system_score_gemma":0.001760651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388548,"about_ca_topic_score_gemma":0.06567146,"domain_scores_codex":[0.9976588,0.0003117929,0.0002244569,0.0008717968,0.0006195948,0.0003135348],"domain_scores_gemma":[0.9974464,0.0008850155,0.0002010175,0.0006677663,0.0006629041,0.0001368634],"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":[0.0004009597,0.0001916717,0.005364047,0.002678666,0.0002659035,0.0001761957,0.0000881495,0.002169098,0.001282875,0.0006616965,0.9601648,0.02655589],"study_design_scores_gemma":[0.0007317093,0.0001313953,0.02645064,0.001220463,0.0004269439,0.0006491041,0.0003836988,0.008805736,0.004892259,0.003239418,0.9528952,0.000173395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003073358,0.0008378503,0.001310552,0.0001158598,0.0001266057,0.00009450876,0.9900742,0.002261906,0.002105064],"genre_scores_gemma":[0.001984808,0.0001111815,0.001765184,0.00005059504,0.00001198667,0.0001656906,0.9949629,0.0001507551,0.0007969299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03388548,"threshold_uncertainty_score":0.08726627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2174701284124055,"score_gpt":0.4655102380296914,"score_spread":0.248040109617286,"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."}}