{"id":"W6936226865","doi":"10.57907/mirri/l3j2tv","title":"MIRRI0059875","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); 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":[0.0008695566,0.0009442091,0.0008605213,0.0006360273,0.0003222939,0.0001569141,0.001853518,0.0004698017,0.9990735],"category_scores_gemma":[0.000591642,0.001011019,0.0005277478,0.0005980829,0.0001085072,0.0001255271,0.001202408,0.001886233,0.9849666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007950448,"about_ca_system_score_gemma":0.00067261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604874,"about_ca_topic_score_gemma":0.0005658151,"domain_scores_codex":[0.9944658,0.0006657151,0.0009132756,0.001349355,0.001517535,0.001088315],"domain_scores_gemma":[0.9959161,0.0003269054,0.0007662532,0.002482835,0.0001146993,0.0003932238],"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":[0.00009456785,0.0004858095,0.0000240794,0.00008554864,0.000225657,0.0008271587,0.00002912471,0.00005103246,0.0001207527,0.00001479734,0.997817,0.0002244495],"study_design_scores_gemma":[0.0009861331,0.00006049222,0.00002335879,0.00004893084,0.0003271142,0.0001218395,0.00009128849,0.000007972383,0.00009416531,0.000120575,0.9970862,0.001031931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007843622,0.001153949,0.000002441764,0.0004150625,0.002064466,0.0006222343,0.9951491,0.0004761061,0.00003814021],"genre_scores_gemma":[0.000003824582,0.0002415314,0.0001827274,0.0008129258,0.001040441,0.0002415865,0.9894713,0.0003076158,0.007698051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01410688,"threshold_uncertainty_score":0.999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723280875231698,"score_gpt":0.2681336986519985,"score_spread":0.2509008898996816,"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."}}