{"id":"W6898974002","doi":"10.57907/mirri/nhnevz","title":"MIRRI0044005","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":"Taxon; Organism; 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":[0.0008874866,0.0009412794,0.0008555028,0.0006328088,0.0003184093,0.000155581,0.001844345,0.000468097,0.9991098],"category_scores_gemma":[0.0005709601,0.001008303,0.0005345384,0.0005910754,0.0001076886,0.0001229066,0.001194007,0.001878756,0.984822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008371072,"about_ca_system_score_gemma":0.0006867743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175894,"about_ca_topic_score_gemma":0.0004483278,"domain_scores_codex":[0.9944975,0.0006498052,0.0009117298,0.001342461,0.001511791,0.001086741],"domain_scores_gemma":[0.9959542,0.0003191777,0.0007597399,0.002464303,0.000110968,0.000391597],"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":[0.00008911463,0.0004870826,0.00001931398,0.00008512721,0.0002244302,0.0007975857,0.00003220755,0.0000591624,0.0001534263,0.00001252325,0.9977977,0.0002423606],"study_design_scores_gemma":[0.0009860619,0.00005848529,0.00001664645,0.00004974251,0.0003244603,0.0001219778,0.00008997416,0.000008243768,0.00009626958,0.0001200472,0.9970991,0.001028961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000795764,0.001421141,0.000002287604,0.0004505116,0.002010397,0.0006178313,0.9948978,0.0004860648,0.00003439033],"genre_scores_gemma":[0.000003166001,0.0002396741,0.0001888514,0.0008078939,0.001089723,0.0002399588,0.9881346,0.0003068925,0.008989282],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01428778,"threshold_uncertainty_score":0.9992368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680409486657291,"score_gpt":0.2680017540310646,"score_spread":0.2511976591644917,"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."}}