{"id":"W4292932194","doi":"10.1139/gen4606note","title":"Note of appreciation / Note de reconnaissance","year":2003,"lang":"en","type":"article","venue":"Genome","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Evolutionary biology; Genetics; Computational biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003589465,0.0005776762,0.0009681665,0.001054293,0.005866974,0.003178549,0.003701417,0.02219213,0.01924795],"category_scores_gemma":[0.02967323,0.0006803339,0.001213967,0.0007606265,0.001385094,0.001711764,0.002169784,0.01599905,0.007642261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286131,"about_ca_system_score_gemma":0.005769224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01728263,"about_ca_topic_score_gemma":0.04697907,"domain_scores_codex":[0.9956288,0.0007059213,0.0007130256,0.0007115586,0.001370324,0.0008702296],"domain_scores_gemma":[0.9827239,0.007880819,0.001013587,0.002321541,0.005286902,0.0007732895],"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":[0.0001287944,0.00009604931,0.0009572821,0.0001194222,0.00002608568,0.003616539,0.001034173,0.00009084648,0.003012749,0.01429156,0.9617968,0.01482973],"study_design_scores_gemma":[0.00002958652,0.0000533103,0.004694238,0.000157773,0.00002270518,0.001438569,0.001054665,0.0002736769,0.001706226,0.004080497,0.9864319,0.00005680093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03634147,0.005334632,0.006638784,0.446672,0.09081078,0.00146052,0.003955891,0.001131832,0.407654],"genre_scores_gemma":[0.08485268,0.00172675,0.006400193,0.2003857,0.01294944,0.0008860613,0.001075341,0.0003425943,0.6913812],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9807521,"threshold_uncertainty_score":0.06439078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398992853470573,"score_gpt":0.3058271434382654,"score_spread":0.2818372149035597,"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."}}