{"id":"W6917351789","doi":"10.57907/mirri/xngdis","title":"MIRRI0063737","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001706567,0.002980975,0.002899521,0.006446029,0.002124606,0.005520208,0.004340247,0.003998941,0.2992969],"category_scores_gemma":[0.01111655,0.001408193,0.001424641,0.01330586,0.000771108,0.003033961,0.003748564,0.002372217,0.4026863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002693799,"about_ca_system_score_gemma":0.005575963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03647158,"about_ca_topic_score_gemma":0.06056641,"domain_scores_codex":[0.9981042,0.0002932444,0.0002095322,0.0006681086,0.0004009732,0.0003239574],"domain_scores_gemma":[0.9952426,0.001361931,0.0004216463,0.001131603,0.001329984,0.0005122558],"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":[0.00007127341,0.00001193824,0.0003611556,0.0009500086,0.00002275019,0.00001244997,0.0000324309,0.0001032793,0.0001472394,0.0005133969,0.9964702,0.001303893],"study_design_scores_gemma":[0.0002003795,0.00001598798,0.00174087,0.000337845,0.0000296074,0.00002869391,0.00006145049,0.0001064646,0.000218606,0.0008014484,0.9964324,0.00002611893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002303093,0.00003820623,0.00002666032,0.00003103622,0.00001236263,0.00000417982,0.9990508,0.0002168493,0.000596864],"genre_scores_gemma":[0.0001214297,0.00005345045,0.0001691015,0.00004624176,0.00000560325,0.00003252432,0.9987738,0.0001243796,0.0006735746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.700703,"threshold_uncertainty_score":0.9994678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702857098264039,"score_gpt":0.2673197813084869,"score_spread":0.2502912103258465,"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."}}