{"id":"W6902058476","doi":"10.6084/m9.figshare.22265887.v1","title":"AliView Alignment","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Ensembl; Multiple sequence alignment; Coding region; Sequence alignment; Gene; Focus (optics)","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":[0.001325496,0.00311338,0.001937326,0.006117668,0.002369399,0.004354201,0.004341223,0.002207528,0.3485242],"category_scores_gemma":[0.004727949,0.001737153,0.001568027,0.005898107,0.0005686366,0.003339336,0.002672849,0.003580944,0.232566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000089,"about_ca_system_score_gemma":0.001391306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081057,"about_ca_topic_score_gemma":0.003317874,"domain_scores_codex":[0.9990035,0.0001524272,0.0001081893,0.0003808249,0.0002364213,0.0001188101],"domain_scores_gemma":[0.9987696,0.0004001955,0.0001236249,0.0002444588,0.0003130914,0.0001490247],"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":[0.0009662495,0.0001487496,0.001123309,0.001791818,0.0001158211,0.0005448234,0.0005154289,0.000933403,0.01719973,0.006926147,0.9241943,0.04554018],"study_design_scores_gemma":[0.0001001339,0.0000511389,0.001231385,0.0002895001,0.00006992299,0.000359379,0.0001546429,0.003093303,0.006444081,0.004712242,0.9834297,0.000064623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005708754,0.001376883,0.09021944,0.0008265555,0.001039274,0.0004439607,0.6225752,0.2042844,0.07352554],"genre_scores_gemma":[0.01278596,0.0008091905,0.07379206,0.0003169957,0.0001394682,0.0007648004,0.8346705,0.05390656,0.02281444],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6514758,"threshold_uncertainty_score":0.9292512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102496568277417,"score_gpt":0.3205959605969435,"score_spread":0.2180993923195265,"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."}}