{"id":"W6917778343","doi":"10.57907/mirri/e8gtrr","title":"MIRRI0062419","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":[0.0008669447,0.0009289105,0.0008474561,0.0006293346,0.0003208565,0.0001543852,0.001797528,0.0004615324,0.9990931],"category_scores_gemma":[0.0005617227,0.0009980163,0.0005093526,0.0005912706,0.0001041092,0.0001203842,0.001148811,0.001847288,0.984899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008387362,"about_ca_system_score_gemma":0.0007260765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880292,"about_ca_topic_score_gemma":0.000630447,"domain_scores_codex":[0.9945273,0.0006521799,0.0008973412,0.001329966,0.001510553,0.001082633],"domain_scores_gemma":[0.9959713,0.0003254586,0.0007493764,0.002448924,0.000113705,0.0003911895],"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":[0.0000857038,0.0004462296,0.00002129081,0.00008700116,0.0002123298,0.0008878942,0.00002861763,0.00005259591,0.0001511358,0.00001373836,0.997807,0.0002064247],"study_design_scores_gemma":[0.0009650897,0.00005844217,0.00001788152,0.00004754697,0.0003094796,0.0001267936,0.0000905831,0.000007789306,0.00008894465,0.0001196233,0.9971477,0.00102013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008011943,0.001282602,0.000002243195,0.000402696,0.002089981,0.0006208448,0.995037,0.0004471549,0.00003731507],"genre_scores_gemma":[0.000003592569,0.0002111649,0.0001645791,0.0008024356,0.0009856431,0.000228689,0.9889909,0.0003017431,0.008311246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01419403,"threshold_uncertainty_score":0.999247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687984137525961,"score_gpt":0.2672572761921162,"score_spread":0.2503774348168566,"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."}}