{"id":"W6955117252","doi":"10.57907/mirri/boxwcz","title":"MIRRI0061771","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Population","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":[0.0003603709,0.0003485623,0.0004299706,0.0001308814,0.0002193392,0.0000704203,0.0006921465,0.0001933998,0.9950294],"category_scores_gemma":[0.0002616876,0.0002843588,0.0002462145,0.0004065367,0.00004730653,0.00005605864,0.00006840307,0.0008899518,0.4355253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029154,"about_ca_system_score_gemma":0.0001355033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00660554,"about_ca_topic_score_gemma":0.0006853139,"domain_scores_codex":[0.9974555,0.0004292922,0.0003619124,0.0005931389,0.0005776438,0.0005824537],"domain_scores_gemma":[0.9983907,0.0006234571,0.0001808325,0.0005054154,0.00002976886,0.0002698117],"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":[0.00002622788,0.00006000676,0.0001360885,0.00002627029,0.00002982965,0.0001032675,0.000004392747,0.0001314131,0.000001402579,0.000002502269,0.9365718,0.06290685],"study_design_scores_gemma":[0.0001886474,0.0001513197,0.002941275,0.000007662395,0.00006098315,0.00001676424,0.00001167905,0.00009781116,0.00001472398,0.001544264,0.9945886,0.0003762835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002971413,0.00101721,0.00001301986,0.000607221,0.001162595,0.0001829345,0.9965695,0.00006072998,0.0000896553],"genre_scores_gemma":[0.00003723862,0.0002279659,0.0005536937,0.001043263,0.0006502969,0.000005473641,0.9943051,0.00000609976,0.003170853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5595041,"threshold_uncertainty_score":0.9999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513903577019067,"score_gpt":0.2395585149287862,"score_spread":0.2244194791585955,"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."}}