{"id":"W6898741478","doi":"10.57907/mirri/dkhwal","title":"MIRRI0068717","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008824881,0.0009401806,0.000859055,0.0006288778,0.0003352458,0.0001608232,0.001877188,0.0004680073,0.9991396],"category_scores_gemma":[0.0006018674,0.001007069,0.0005241583,0.0005773494,0.0001097865,0.0001249625,0.001202247,0.001865459,0.9861935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007838573,"about_ca_system_score_gemma":0.0006661819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456421,"about_ca_topic_score_gemma":0.0004286129,"domain_scores_codex":[0.994507,0.0006571093,0.0009033706,0.001345238,0.001510596,0.001076692],"domain_scores_gemma":[0.9958681,0.00032265,0.0007809659,0.002528675,0.0001175017,0.000382059],"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":[0.00008970248,0.000476086,0.00002171482,0.00008721607,0.0002196882,0.0008679865,0.00002857885,0.00004961926,0.0001523499,0.00001296564,0.9977819,0.0002121972],"study_design_scores_gemma":[0.001003657,0.0000604148,0.00001894226,0.00004981394,0.0003225958,0.0001182988,0.00008681304,0.000007879426,0.00009684866,0.0001228951,0.9970841,0.001027707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007934465,0.001309299,0.000002493033,0.0004020242,0.002075957,0.000619415,0.9950085,0.0004664509,0.00003650426],"genre_scores_gemma":[0.000003558026,0.0002304821,0.0001788709,0.0007444989,0.001013813,0.0002404013,0.9892024,0.0003043401,0.008081637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01294616,"threshold_uncertainty_score":0.999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735179883768361,"score_gpt":0.2687690822327126,"score_spread":0.2514172833950289,"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."}}