{"id":"W6898789952","doi":"10.57745/qzxx5u","title":"ANR_ArchiFluo_DataFig5b_101364OE483722_20230426_V0.tab","year":2023,"lang":"gl","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); 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":["insufficient_payload"],"category_scores_codex":[0.001418452,0.003525388,0.002026747,0.007032163,0.00140061,0.004276328,0.003493319,0.003319825,0.464258],"category_scores_gemma":[0.009572858,0.001393206,0.002111977,0.009425041,0.0007448498,0.002661106,0.002961198,0.002392508,0.4526497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003134997,"about_ca_system_score_gemma":0.003998164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05356909,"about_ca_topic_score_gemma":0.06168122,"domain_scores_codex":[0.9984965,0.0002101746,0.0001370269,0.0004716286,0.0003774839,0.0003072448],"domain_scores_gemma":[0.9951256,0.001637857,0.0002903143,0.00120998,0.00135266,0.0003835833],"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":[0.00003903536,0.00000965513,0.0002212915,0.0003646586,0.00001277806,0.000008596095,0.00001794468,0.0001139527,0.00008839136,0.0003745618,0.9976931,0.001055896],"study_design_scores_gemma":[0.0001796141,0.00001145794,0.001487246,0.0002198202,0.00001719176,0.00002672312,0.00005571559,0.0001734435,0.000368105,0.000988104,0.996443,0.00002961802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003424821,0.00002797311,0.0000518363,0.00005628001,0.00002442295,0.000005685743,0.9978113,0.0009404302,0.00104791],"genre_scores_gemma":[0.0002525057,0.00004210572,0.0002414171,0.00005790398,0.000009270532,0.00004393372,0.9973913,0.0006133651,0.001348211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5357419,"threshold_uncertainty_score":0.7641709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5754729404251504,"score_gpt":0.4789328744598247,"score_spread":0.09654006596532566,"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."}}