{"id":"W6943067190","doi":"10.15454/vwtjys/bj7xub","title":"TAIR10TEs-specific_filtered.gff","year":2022,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Annotation; Identification (biology); Selection (genetic algorithm); Context (archaeology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001310953,0.00422135,0.002828695,0.005300075,0.001897824,0.003119857,0.004112057,0.003741345,0.08367476],"category_scores_gemma":[0.004132849,0.001489488,0.002381749,0.007739924,0.000657393,0.002069105,0.002626584,0.002948496,0.1201054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905535,"about_ca_system_score_gemma":0.002921592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02985618,"about_ca_topic_score_gemma":0.05530944,"domain_scores_codex":[0.9984676,0.0001841457,0.0001582462,0.0005315344,0.0003513952,0.0003069533],"domain_scores_gemma":[0.9981158,0.0005327686,0.0001759509,0.0005508084,0.0004304946,0.000194213],"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":[0.0001805459,0.00003304589,0.0009451699,0.001548954,0.00007128803,0.00004616008,0.000059102,0.0003116621,0.001055658,0.0005514468,0.9928847,0.002312267],"study_design_scores_gemma":[0.0003197147,0.00002824464,0.004058463,0.0002676802,0.00005971556,0.00008807066,0.00008154407,0.0003238241,0.001179254,0.0009272887,0.9926125,0.00005367693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001507449,0.00006289383,0.00008700987,0.00002747927,0.00002353228,0.00000786333,0.998131,0.0009072808,0.0006022462],"genre_scores_gemma":[0.0002186836,0.00002886308,0.0002071578,0.00002309139,0.000002713382,0.00002885559,0.9990158,0.0001481868,0.0003267129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9163252,"threshold_uncertainty_score":0.27992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4940008389394337,"score_gpt":0.4353824960815519,"score_spread":0.05861834285788176,"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."}}