{"id":"W6961890872","doi":"10.15454/xetxqu/paysuk","title":"3_HF2H_56C.fastq.gz","year":2021,"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":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001640306,0.004991691,0.002817746,0.004793991,0.002021023,0.004281325,0.005419336,0.005446681,0.1584563],"category_scores_gemma":[0.00888673,0.001277284,0.002717601,0.00668449,0.0009148869,0.00250163,0.00278836,0.002843652,0.2295744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826763,"about_ca_system_score_gemma":0.003735746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06544276,"about_ca_topic_score_gemma":0.08175216,"domain_scores_codex":[0.9980956,0.0004026792,0.0001362136,0.0006146754,0.0004046166,0.0003461662],"domain_scores_gemma":[0.996605,0.001185523,0.0001758655,0.0008695921,0.000875415,0.0002885535],"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":[0.00006503121,0.00001635891,0.0001954701,0.0004382549,0.00002770096,0.00001416585,0.00001429566,0.0002241557,0.00008740455,0.0003096471,0.9975568,0.001050654],"study_design_scores_gemma":[0.0005751935,0.00003965523,0.00214757,0.0003153173,0.00005103266,0.00007976493,0.00009526013,0.0009246406,0.0005459898,0.001942965,0.9932202,0.00006242708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001087673,0.0001100131,0.00008455644,0.00009777868,0.00004511676,0.0000104059,0.9977437,0.00104423,0.0007554573],"genre_scores_gemma":[0.0002732088,0.0000490179,0.0002639987,0.00005947275,0.00001166228,0.00004772207,0.9983311,0.0002176826,0.0007461383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415437,"threshold_uncertainty_score":0.5300891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5079167257328147,"score_gpt":0.4621145402885345,"score_spread":0.04580218544428011,"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."}}