{"id":"W6977217920","doi":"10.6084/m9.figshare.22242298.v1","title":"Assessing the Benefits and Costs of the Hydrogen Cyanide Antiherbivore Defense in Trifolium repens","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Trifolium repens; Hydrogen cyanide; Raw material; Hydrogen","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":[0.001131481,0.0007340449,0.0006720018,0.001866278,0.0003874059,0.001329586,0.00142993,0.001306257,0.04613835],"category_scores_gemma":[0.01085245,0.0003077457,0.001201465,0.003337069,0.0002011286,0.0008133589,0.001123937,0.001212406,0.0195151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302013,"about_ca_system_score_gemma":0.001453108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02436246,"about_ca_topic_score_gemma":0.0474418,"domain_scores_codex":[0.9993429,0.0001735027,0.00009643397,0.0001452052,0.0001678914,0.00007423106],"domain_scores_gemma":[0.9960966,0.002072223,0.0006033883,0.0003790801,0.0006554513,0.0001933934],"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":[0.0002588866,0.00004093517,0.007880408,0.003090565,0.0002204906,0.00003011131,0.00003192343,0.001293009,0.0002047595,0.001345863,0.9787865,0.006816647],"study_design_scores_gemma":[0.001152941,0.00008229236,0.04664717,0.001435697,0.0002724841,0.0001068539,0.000214497,0.001923027,0.0006307002,0.00373755,0.9437243,0.0000723137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004700679,0.0001286741,0.00003311751,0.0001720295,0.00001406465,0.00000645843,0.9984586,0.00005483417,0.0006621639],"genre_scores_gemma":[0.003808924,0.0002264759,0.0004845226,0.0001568805,0.000012884,0.00008822584,0.9940447,0.00004892586,0.001128471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04613835,"threshold_uncertainty_score":0.1543481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08973431362491453,"score_gpt":0.3629574732481379,"score_spread":0.2732231596232234,"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."}}