{"id":"W6898933858","doi":"10.57907/mirri/zn2gbr","title":"MIRRI0111575","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; Bacteria; Taxon; Identification (biology)","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":[0.0008796269,0.0009334879,0.0008461901,0.0006326085,0.0003334347,0.0001512098,0.001842366,0.0004475253,0.9990747],"category_scores_gemma":[0.0005232619,0.001001524,0.0005187003,0.0005861542,0.0001084628,0.0001304848,0.001211322,0.001895329,0.9838547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007564675,"about_ca_system_score_gemma":0.0006542679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253047,"about_ca_topic_score_gemma":0.0003615926,"domain_scores_codex":[0.9945347,0.0006731855,0.0009201784,0.001299599,0.001494157,0.001078219],"domain_scores_gemma":[0.996008,0.0003046235,0.0007689424,0.002417958,0.0001156389,0.0003848765],"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":[0.00009236197,0.0004743614,0.0000218319,0.000087297,0.0002193223,0.0008725297,0.00003169146,0.00005032346,0.000148024,0.00001294924,0.9977766,0.0002127596],"study_design_scores_gemma":[0.0009915082,0.00005850164,0.00001820513,0.00004727863,0.0003129049,0.0001321576,0.00009157275,0.000008778232,0.0001011048,0.0001055187,0.9971101,0.00102236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000770545,0.001440014,0.000002392846,0.0003715726,0.002066644,0.0006086314,0.9949378,0.0004543695,0.00004149035],"genre_scores_gemma":[0.000003412422,0.0002649367,0.0001692438,0.0008107303,0.0009728958,0.0002358513,0.9894066,0.0002907636,0.007845535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01521999,"threshold_uncertainty_score":0.9992435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776509843885403,"score_gpt":0.2674750126667521,"score_spread":0.249709914227898,"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."}}