{"id":"W6917406010","doi":"10.57745/bamewx/lxqcmj","title":"190204_BM_BEN_B13_B_rbcL.h5","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":"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":[0.001661831,0.00340777,0.002200234,0.004529534,0.001691939,0.004007097,0.004084389,0.003975427,0.1900856],"category_scores_gemma":[0.01006423,0.001196195,0.001679183,0.007112655,0.0007546598,0.002216732,0.002348507,0.002487155,0.262044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002819767,"about_ca_system_score_gemma":0.00363066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05830541,"about_ca_topic_score_gemma":0.06846721,"domain_scores_codex":[0.9981881,0.0004103217,0.0001526357,0.0005311634,0.0003930351,0.0003247784],"domain_scores_gemma":[0.9961343,0.001251725,0.0002284529,0.00100803,0.001030741,0.0003467697],"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":[0.00005406565,0.0000123476,0.000232257,0.0002633197,0.00001634862,0.000008574601,0.00001413499,0.0001432822,0.00006899358,0.0003763421,0.9979491,0.000861332],"study_design_scores_gemma":[0.0003591552,0.00001914984,0.002414669,0.000232568,0.00002543844,0.00003982553,0.00007821195,0.000419668,0.0003661921,0.001362731,0.9946454,0.0000369555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006852014,0.00005280349,0.00004635482,0.00008251544,0.00002672841,0.000005380385,0.9984686,0.0005153769,0.000733721],"genre_scores_gemma":[0.0002443769,0.00004101899,0.0002131591,0.00005907652,0.00001004322,0.00003631126,0.9984137,0.0001744081,0.0008079537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8099144,"threshold_uncertainty_score":0.6358996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4793103673692056,"score_gpt":0.4541162950910642,"score_spread":0.02519407227814147,"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."}}