{"id":"W6898700693","doi":"10.57745/bamewx/unj4ec","title":"181113_BM_BEN_Jac_A_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":[0.001926286,0.003963942,0.002341296,0.004798839,0.001935112,0.004223368,0.004722029,0.004559967,0.1766815],"category_scores_gemma":[0.01081678,0.001188983,0.001865318,0.006819467,0.0009031873,0.002284691,0.002754401,0.002596642,0.2572211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003009183,"about_ca_system_score_gemma":0.003729468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05256736,"about_ca_topic_score_gemma":0.06642737,"domain_scores_codex":[0.9977848,0.0005291107,0.000189352,0.0006274407,0.0005070866,0.0003622247],"domain_scores_gemma":[0.9958829,0.001249084,0.0002387113,0.001162175,0.001052412,0.0004146888],"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":[0.00005322997,0.00001576372,0.0001672425,0.0002897851,0.00001736662,0.000008944568,0.00001331389,0.0001312913,0.00007654056,0.0003295667,0.9979945,0.0009024089],"study_design_scores_gemma":[0.0004162798,0.0000265946,0.001973245,0.0002266393,0.00002912595,0.00005054196,0.00008416749,0.0005986534,0.0004524144,0.001304936,0.9947972,0.00004031005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001056452,0.00008636168,0.0000685107,0.0001224153,0.00004218395,0.00001017561,0.9976687,0.00090374,0.000992251],"genre_scores_gemma":[0.0003024734,0.00005034527,0.0002882126,0.00007728185,0.00001306955,0.00004907346,0.9980779,0.0002129506,0.0009287624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8233185,"threshold_uncertainty_score":0.5910587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4672887208314869,"score_gpt":0.4534178683063014,"score_spread":0.01387085252518544,"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."}}