{"id":"W6973822351","doi":"10.57907/mirri/scum5q","title":"MIRRI0050592","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; Natural (archaeology); Point (geometry)","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":[0.0008992391,0.0009446682,0.000861427,0.0006503156,0.0003222456,0.0001570557,0.001852578,0.0004699926,0.9991999],"category_scores_gemma":[0.0005947915,0.00101088,0.0005279871,0.000609649,0.0001085387,0.0001255249,0.001201287,0.001887683,0.9847113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008063626,"about_ca_system_score_gemma":0.0006598349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280115,"about_ca_topic_score_gemma":0.0004363221,"domain_scores_codex":[0.9944605,0.0006671483,0.000913754,0.001350186,0.001519463,0.001088965],"domain_scores_gemma":[0.9959137,0.0003278924,0.0007662255,0.002485413,0.000113223,0.0003934998],"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":[0.00009050723,0.0004860677,0.00001536192,0.00008578815,0.0002261182,0.0008341747,0.00002911346,0.00005049158,0.0001408701,0.00001541687,0.997852,0.0001740483],"study_design_scores_gemma":[0.0009879915,0.00006019362,0.00001651662,0.0000498157,0.000327449,0.0001214017,0.00009262915,0.000008013401,0.00009632944,0.0001300794,0.9970773,0.001032259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007151708,0.001379121,0.00000243363,0.0004223789,0.002063989,0.0006208618,0.994917,0.000475967,0.00004678264],"genre_scores_gemma":[0.000003490012,0.0002309426,0.0001797701,0.0007922705,0.001048236,0.0002494405,0.9891525,0.0003078156,0.008035549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01448852,"threshold_uncertainty_score":0.9992341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724638731491096,"score_gpt":0.2680535620702977,"score_spread":0.2508071747553867,"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."}}