{"id":"W6973686220","doi":"10.57907/mirri/erovmo","title":"MIRRI0041408","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); Key (lock)","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":[0.0008666191,0.0009443717,0.0008630938,0.0006353408,0.0003272275,0.0001540234,0.00184933,0.0004696997,0.9990123],"category_scores_gemma":[0.0006004441,0.001011178,0.0005387574,0.0006093816,0.0001107715,0.0001246749,0.001196804,0.001881071,0.9844468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008254126,"about_ca_system_score_gemma":0.000696904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00132605,"about_ca_topic_score_gemma":0.0004171166,"domain_scores_codex":[0.9944735,0.0006596986,0.0009112035,0.001350512,0.001523363,0.001081703],"domain_scores_gemma":[0.995928,0.0003204612,0.0007619129,0.002481328,0.0001179064,0.0003903848],"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":[0.00009001928,0.0004837785,0.00002176622,0.00008801728,0.0002251376,0.00088951,0.00003113674,0.00005343734,0.0001425841,0.0000139049,0.9977403,0.0002204676],"study_design_scores_gemma":[0.0009961885,0.00006196475,0.0000182094,0.00005038582,0.0003205839,0.0001286222,0.00009011563,0.000007812612,0.00009075339,0.0001274914,0.997076,0.001031842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007453276,0.001424247,0.000002442289,0.0004065978,0.002108863,0.0006245018,0.9948303,0.0004919359,0.00003660791],"genre_scores_gemma":[0.000003573628,0.0002468112,0.0001808474,0.0007775705,0.001011335,0.0002423215,0.989238,0.0003077922,0.007991795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01456554,"threshold_uncertainty_score":0.9992338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172966970242035,"score_gpt":0.2674682968785312,"score_spread":0.2501715998543277,"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."}}