{"id":"W6902272978","doi":"10.6084/m9.figshare.25043810.v1","title":"van Staaveren et al. (2024) Supplementary Material 1","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Breed; Best practice; Quality (philosophy); Data quality; Genomics","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":["insufficient_payload"],"category_scores_codex":[0.003127987,0.001500699,0.00135832,0.004434493,0.00141685,0.005258622,0.002967177,0.003371967,0.7262339],"category_scores_gemma":[0.03093047,0.0008776301,0.001307382,0.004149233,0.0005451436,0.003010832,0.002827937,0.001856494,0.3011198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270351,"about_ca_system_score_gemma":0.00432697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008092256,"about_ca_topic_score_gemma":0.01524128,"domain_scores_codex":[0.9979443,0.0004782646,0.0002237945,0.0004627293,0.0006454596,0.0002454836],"domain_scores_gemma":[0.9900246,0.005121879,0.0007465556,0.001176502,0.002084683,0.0008456857],"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":[0.0001545712,0.00002808923,0.001432762,0.002035723,0.00008904673,0.0001802633,0.00008348311,0.0004392088,0.0002629596,0.003097485,0.9620457,0.03015069],"study_design_scores_gemma":[0.00009241073,0.00002202339,0.001857929,0.001269282,0.00005982154,0.000288605,0.00008773981,0.0004932798,0.0002536662,0.004617007,0.9909245,0.00003377919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007383804,0.001959069,0.004984682,0.003564366,0.004054597,0.0001954271,0.9489154,0.00342208,0.03216603],"genre_scores_gemma":[0.01386394,0.003983699,0.02459173,0.006218297,0.001998058,0.0009653092,0.8778749,0.005198441,0.06530568],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2737661,"threshold_uncertainty_score":0.3904941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760258631156998,"score_gpt":0.3107918193968795,"score_spread":0.2731892330853095,"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."}}