{"id":"W6898542631","doi":"10.57907/mirri/2lbbxd","title":"MIRRI0042588","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":[0.0008676192,0.0009104064,0.0008326786,0.0006040728,0.0003218809,0.000153941,0.0017121,0.0004448534,0.9990464],"category_scores_gemma":[0.0005443977,0.0009752336,0.0005195232,0.0005772188,0.0001067721,0.0001244175,0.001121559,0.001800142,0.9856459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007453323,"about_ca_system_score_gemma":0.0006548457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071956,"about_ca_topic_score_gemma":0.0004163217,"domain_scores_codex":[0.9946276,0.000649213,0.0008871097,0.001307883,0.001469573,0.00105861],"domain_scores_gemma":[0.9960551,0.0003121409,0.0007234067,0.002412442,0.0001133447,0.0003835498],"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":[0.00008505338,0.0004703246,0.00002096956,0.00008208365,0.0002094858,0.0008218927,0.0000307126,0.00005204282,0.0001484468,0.00001391561,0.9978428,0.0002222787],"study_design_scores_gemma":[0.0009623982,0.00006240567,0.0000169998,0.00004821313,0.0003078248,0.0001195743,0.00008876592,0.000007567127,0.00009874714,0.0001243145,0.9971727,0.0009904584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008293388,0.001307764,0.000002223981,0.0004207219,0.002023425,0.0006082152,0.9950445,0.0004753846,0.00003485024],"genre_scores_gemma":[0.00000376381,0.000205,0.0001617787,0.0007824677,0.0009886132,0.0002371814,0.9893615,0.0002912395,0.007968467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01340045,"threshold_uncertainty_score":0.9992698,"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."}}