{"id":"W6936238079","doi":"10.57907/mirri/vr4nhh","title":"MIRRI0053223","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Penicillium; Natural (archaeology)","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":[0.0001808362,0.0003270838,0.0003330155,0.0001561591,0.0001418399,0.0000500335,0.0005594315,0.0001999724,0.9071035],"category_scores_gemma":[0.00003973926,0.0003777877,0.0001468178,0.0002060593,0.00002320454,0.00004611856,0.000171982,0.0006099382,0.3534709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197696,"about_ca_system_score_gemma":0.00006306197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003380946,"about_ca_topic_score_gemma":0.00015857,"domain_scores_codex":[0.9984613,0.00006318894,0.0005173597,0.0003176548,0.0002908748,0.0003496173],"domain_scores_gemma":[0.9986634,0.00008690514,0.0001004591,0.00102573,0.00002905462,0.00009441293],"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":[0.000001564639,0.00003691262,0.000001584767,0.00007987392,0.00006254472,0.00001848891,0.00002800287,0.001711247,0.0005831253,0.00002143714,0.9970247,0.0004304738],"study_design_scores_gemma":[0.0001000761,0.000006755971,0.000004424041,0.00001887193,0.00005046609,0.00001400286,0.00006739995,0.0001388464,0.000379266,0.00005194687,0.9988093,0.0003586839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008827988,0.001263072,0.0001552837,0.000122539,0.001424426,0.0004031731,0.9959891,0.0004763333,0.00007774439],"genre_scores_gemma":[0.00008791396,0.0002338903,0.000105486,0.00006560615,0.0004336752,0.0003866679,0.9970834,0.00008353749,0.001519808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5536327,"threshold_uncertainty_score":0.9998674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035777974360283,"score_gpt":0.2210571815204076,"score_spread":0.2106994017768047,"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."}}