{"id":"W4245018463","doi":"10.1007/978-1-4614-1533-6_259","title":"EF-hand Proteins and Magnesium","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Magnesium; Chemistry; Computational biology; Materials science; Biology; Metallurgy","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":[0.0001262801,0.000649295,0.0003978361,0.0006321779,0.0003894329,0.0008461919,0.0004968439,0.0006327031,0.01251276],"category_scores_gemma":[0.0001425702,0.0002020886,0.000181845,0.0009074347,0.0005106727,0.001190218,0.000544571,0.0009229554,0.007145089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006291544,"about_ca_system_score_gemma":0.0003014561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009637902,"about_ca_topic_score_gemma":0.002376601,"domain_scores_codex":[0.9999462,0.000003826125,0.000002851862,0.00001325716,0.00002680102,0.000007028414],"domain_scores_gemma":[0.9999757,0.00001176257,0.000002341901,0.000002673229,0.00000443025,0.000003078059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001211449,0.00005330851,0.00008483053,0.000801667,0.000017245,0.0002207485,0.000258789,0.0006685785,0.05721576,0.1120585,0.08505411,0.7434453],"study_design_scores_gemma":[0.000004396204,0.00001121238,0.0002434538,0.00009699517,0.000006316458,0.000279708,0.00003708917,0.0001101376,0.005098689,0.0251052,0.9689996,0.000007204381],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006615852,0.5713249,0.01470282,0.00377416,0.003394433,0.00002624568,0.000345728,0.0003419414,0.3994739],"genre_scores_gemma":[0.02729754,0.1975406,0.009854241,0.00160192,0.00116,0.00006164615,0.000484518,0.000138432,0.7618611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01251276,"threshold_uncertainty_score":0.04185927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231330051438532,"score_gpt":0.1712800005172707,"score_spread":0.1589667000028854,"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."}}