{"id":"W7129702191","doi":"10.5683/sp3/ggvjah","title":"Bird Diversity Data","year":2023,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Table (database); Grazing; Threatened species; Abundance (ecology); Grassland; Metadata","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":[0.001436321,0.001274755,0.00119039,0.003676241,0.001089935,0.001817823,0.001764968,0.001503038,0.07016261],"category_scores_gemma":[0.006995903,0.0005408038,0.0009378635,0.004717382,0.0003640856,0.001255299,0.002022838,0.001766065,0.07090954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347324,"about_ca_system_score_gemma":0.001686974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02658453,"about_ca_topic_score_gemma":0.04698562,"domain_scores_codex":[0.9984673,0.0001957978,0.0002133212,0.0005142134,0.0003931124,0.0002162419],"domain_scores_gemma":[0.9963152,0.0007896408,0.0004416519,0.0006927045,0.001460797,0.0003000465],"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":[0.0001347522,0.00006591856,0.01038989,0.001052571,0.0000574789,0.00004304499,0.0001342426,0.0003022371,0.0003814017,0.0008843836,0.9784303,0.00812381],"study_design_scores_gemma":[0.000179762,0.00003333957,0.04140873,0.0005317185,0.00004557762,0.00008874187,0.0003366728,0.0003703648,0.0004822026,0.0009716204,0.9554925,0.00005874582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005795744,0.00003985232,0.0000732183,0.00004797631,0.00002187183,0.00003082314,0.9979339,0.0001150975,0.001157745],"genre_scores_gemma":[0.001453615,0.00003673817,0.0005331024,0.00005357964,0.00001090646,0.0002663364,0.9960554,0.00006616706,0.001524122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07016261,"threshold_uncertainty_score":0.2347173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3528043951562061,"score_gpt":0.4097902935601023,"score_spread":0.05698589840389617,"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."}}