{"id":"W6917533457","doi":"10.57907/mirri/wnub5d","title":"MIRRI0049281","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); Population","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":[0.0008909912,0.0009454564,0.0008628321,0.000636663,0.0003236478,0.0001571872,0.001853829,0.0004707529,0.999048],"category_scores_gemma":[0.0006001852,0.001012063,0.000537566,0.0006113071,0.0001110774,0.0001249111,0.001198294,0.001888479,0.9846158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008195866,"about_ca_system_score_gemma":0.0006933073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290383,"about_ca_topic_score_gemma":0.000416108,"domain_scores_codex":[0.9944636,0.0006631149,0.0009140108,0.001353149,0.001521672,0.001084514],"domain_scores_gemma":[0.9959185,0.0003224327,0.0007636603,0.002487111,0.0001176715,0.0003906113],"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":[0.00009314013,0.0004835179,0.00001967322,0.00008915334,0.0002258423,0.0008910088,0.00003022997,0.0000536827,0.0001518454,0.00001451727,0.9977156,0.0002317919],"study_design_scores_gemma":[0.0009999537,0.0000629825,0.00001678137,0.00005090934,0.0003265175,0.000128229,0.0000925444,0.000007639926,0.0000972038,0.0001383685,0.9970458,0.001033074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007577126,0.001403256,0.000002430844,0.0004153448,0.002091064,0.0006264749,0.9948604,0.0004883572,0.00003696564],"genre_scores_gemma":[0.000003632311,0.0002354577,0.0001809378,0.0007729904,0.001015444,0.0002369342,0.9893947,0.0003081051,0.007851856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01443218,"threshold_uncertainty_score":0.9992329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718230788061879,"score_gpt":0.2678958363395831,"score_spread":0.2507135284589643,"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."}}