{"id":"W6917565358","doi":"10.57907/mirri/vch3h7","title":"MIRRI0068681","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); Range (aeronautics)","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":[0.000888108,0.0009437799,0.0008601096,0.0006362312,0.0003233519,0.0001575633,0.001842574,0.0004697724,0.9991548],"category_scores_gemma":[0.0005867675,0.001010112,0.0005243454,0.0006082041,0.0001088548,0.0001240645,0.001196603,0.001873985,0.9864115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007926523,"about_ca_system_score_gemma":0.0006671362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375734,"about_ca_topic_score_gemma":0.0004297414,"domain_scores_codex":[0.9944683,0.0006672487,0.0009142833,0.001348891,0.001518709,0.001082508],"domain_scores_gemma":[0.9959288,0.0003278193,0.0007670322,0.002474526,0.0001177545,0.0003840312],"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":[0.00008854609,0.0004947128,0.00002112825,0.00008774342,0.0002194722,0.0008514142,0.00002926539,0.0000518102,0.0001538774,0.00001396211,0.9977671,0.0002209475],"study_design_scores_gemma":[0.0009988175,0.00006107457,0.00001740107,0.0000493122,0.0003226447,0.0001254698,0.00009163691,0.000007995828,0.00009651056,0.0001271908,0.9970707,0.001031238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007792959,0.001335114,0.000002481044,0.0003987736,0.002071143,0.0006240684,0.9949801,0.0004738001,0.00003662087],"genre_scores_gemma":[0.000003505208,0.0002294513,0.0001775553,0.0007716896,0.001026022,0.0002420311,0.9892681,0.0003074817,0.00797415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01274334,"threshold_uncertainty_score":0.9992349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704510902722551,"score_gpt":0.2674048072603962,"score_spread":0.2503596982331707,"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."}}