{"id":"W2006338143","doi":"10.1371/journal.pcbi.1002487","title":"Rise and Demise of Bioinformatics? Promise and Progress","year":2012,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Commission","keywords":"Demise; Field (mathematics); Data science; Meaning (existential); Key (lock); Biology; Computer science; Bioinformatics; Cognitive science; Epistemology; Psychology; Ecology; Political science; Philosophy","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":[0.05797416,0.001349306,0.00228131,0.00488868,0.005685481,0.01681742,0.004561993,0.01244787,0.0167422],"category_scores_gemma":[0.0634691,0.0008080952,0.001601849,0.004899655,0.0280597,0.04688952,0.009000111,0.02334774,0.005892722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006927906,"about_ca_system_score_gemma":0.01612201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004689619,"about_ca_topic_score_gemma":0.003022762,"domain_scores_codex":[0.9798234,0.01031865,0.0009590128,0.002284091,0.0049,0.001714819],"domain_scores_gemma":[0.9092286,0.05983101,0.002194272,0.005045393,0.01100327,0.01269735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004012783,0.0002246597,0.001583525,0.002365027,0.00007539229,0.0003855789,0.003097782,0.0009475417,0.0006642102,0.6536786,0.164167,0.1724094],"study_design_scores_gemma":[0.00007003472,0.0001448948,0.001227589,0.002103387,0.00003131717,0.0005419542,0.004158843,0.001195461,0.0002874962,0.3270861,0.6630769,0.00007609974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002322308,0.2888325,0.004862358,0.6839616,0.006757885,0.00001544214,0.0001827777,0.0002275495,0.01283754],"genre_scores_gemma":[0.1583476,0.6114106,0.02206111,0.1649483,0.03328218,0.0001343887,0.000556398,0.0003956293,0.008863797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05797416,"threshold_uncertainty_score":0.3066003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075483066391383,"score_gpt":0.2920245276201478,"score_spread":0.271269696956234,"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."}}