{"id":"W6917604069","doi":"10.57907/mirri/gi2mfv","title":"MIRRI0043699","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":[0.000882337,0.0009445131,0.0008606953,0.0006426472,0.0003222874,0.0001557747,0.001849024,0.0004703586,0.9990423],"category_scores_gemma":[0.0005913106,0.001011439,0.0005372342,0.0006173197,0.0001090573,0.0001245605,0.001196439,0.001888102,0.9841715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008175561,"about_ca_system_score_gemma":0.0006897722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220031,"about_ca_topic_score_gemma":0.0004125008,"domain_scores_codex":[0.9944777,0.0006592105,0.0009107483,0.001350845,0.00151894,0.001082503],"domain_scores_gemma":[0.995932,0.0003228946,0.0007603905,0.002476807,0.0001174781,0.0003903917],"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":[0.00008964429,0.0004830498,0.00001838408,0.00008730267,0.0002253218,0.0008508546,0.00002478154,0.00005361301,0.0001566424,0.0000187671,0.9977749,0.0002167217],"study_design_scores_gemma":[0.0009758346,0.00006187998,0.00001638496,0.00005027025,0.0003258318,0.0001232656,0.0001105143,0.000007758985,0.0001221876,0.0001310107,0.9970428,0.001032268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005825056,0.001391534,0.000002413928,0.0004503288,0.002058585,0.0006385768,0.9948654,0.0004873784,0.00004758687],"genre_scores_gemma":[0.00000409326,0.0002295332,0.0001753261,0.0005899813,0.001008003,0.0002473713,0.9886454,0.0003075694,0.008792677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01487086,"threshold_uncertainty_score":0.9992336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708672603717975,"score_gpt":0.2677936261146847,"score_spread":0.250706900077505,"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."}}