{"id":"W2463732179","doi":"","title":"[Searching for and processing professional and scientific data 2/2].","year":2011,"lang":"en","type":"article","venue":"PubMed","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Obsolescence; Computer science; Value (mathematics); Subject (documents); Data science; Knowledge management; Sociology of scientific knowledge; Business; World Wide Web; Machine learning; Sociology; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01085276,0.0009917931,0.001360497,0.01391675,0.001767438,0.006454634,0.002228358,0.00240216,0.04080093],"category_scores_gemma":[0.04309051,0.0008602196,0.002088498,0.01652229,0.001138324,0.007576223,0.006545032,0.001572618,0.05885164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00077947,"about_ca_system_score_gemma":0.008473902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003590022,"about_ca_topic_score_gemma":0.00621496,"domain_scores_codex":[0.9894546,0.003378423,0.002752292,0.0007183707,0.003329038,0.0003672182],"domain_scores_gemma":[0.9776238,0.008511848,0.001951125,0.004858332,0.006406754,0.0006481453],"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":[0.0001063134,0.0000348403,0.001077611,0.005765995,0.0001498951,0.0004582812,0.00089554,0.0001437618,0.002762202,0.02358858,0.4970665,0.4679505],"study_design_scores_gemma":[0.00003596871,0.00001832467,0.001563858,0.001399307,0.00007995509,0.0007650137,0.0004985242,0.0006707729,0.001201792,0.01966541,0.9740485,0.00005264212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006035829,0.02254473,0.5513932,0.05212661,0.008008538,0.007407503,0.0999832,0.03831498,0.2141854],"genre_scores_gemma":[0.02096327,0.01603902,0.8212498,0.0133801,0.001991367,0.003584753,0.07422861,0.005556048,0.04300698],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04080093,"threshold_uncertainty_score":0.1364927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604917323909491,"score_gpt":0.3164719878232611,"score_spread":0.1559802554323119,"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."}}