{"id":"W6950626692","doi":"10.5281/zenodo.5898621","title":"Transposable element pangenome","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Transposable element; Genome; DNA Transposable Elements; Element (criminal law); Gene","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":[0.0002441567,0.001082569,0.0004839393,0.002856284,0.0005008641,0.0008835067,0.0006993905,0.0006117515,0.062292],"category_scores_gemma":[0.0008587214,0.0004046506,0.0005954088,0.004122976,0.0001978898,0.000859328,0.0008425167,0.001065574,0.02846588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005004064,"about_ca_system_score_gemma":0.001015828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006620735,"about_ca_topic_score_gemma":0.008526538,"domain_scores_codex":[0.9998424,0.00001072256,0.000009668955,0.00007101244,0.00004987898,0.00001632872],"domain_scores_gemma":[0.9997452,0.00005758166,0.00003023672,0.00004422592,0.00007858733,0.00004420681],"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":[0.0006777849,0.0001099533,0.004686599,0.00371788,0.0001433929,0.000507111,0.0003458459,0.003818812,0.07064926,0.01884199,0.756205,0.1402964],"study_design_scores_gemma":[0.00004538233,0.00003136269,0.005204207,0.0001611554,0.00005835793,0.0003903799,0.00007468351,0.001969771,0.01069125,0.005544157,0.9757974,0.00003191304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007531498,0.000650212,0.02257039,0.0002689423,0.0001836749,0.0001146857,0.9128696,0.0249541,0.03085694],"genre_scores_gemma":[0.01154596,0.0006226163,0.02487721,0.0001211639,0.00001918305,0.0001109969,0.9504895,0.004362505,0.007850992],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.062292,"threshold_uncertainty_score":0.2083876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441848903666219,"score_gpt":0.2082955079145772,"score_spread":0.183877018877915,"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."}}