{"id":"W2403621395","doi":"10.5281/zenodo.3782112","title":"Yesterday, Today and Tomorrow - The Vision","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Information Society and Technology Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Yesterday; Computer science; Physics","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":[0.001820754,0.0005119379,0.0003826343,0.0006071968,0.005565667,0.01084727,0.0008069059,0.003062079,0.03289443],"category_scores_gemma":[0.002686941,0.0002946039,0.0004939093,0.0007787636,0.004030475,0.01202424,0.004684321,0.007173525,0.01633596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004057566,"about_ca_system_score_gemma":0.004307691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087491,"about_ca_topic_score_gemma":0.02076454,"domain_scores_codex":[0.9989095,0.0001933333,0.0000270375,0.0002155228,0.0003480504,0.0003066168],"domain_scores_gemma":[0.9984181,0.00008441627,0.00007444923,0.0001379067,0.0004048717,0.0008801395],"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":[0.00005234064,0.00004649736,0.0008101561,0.00007547533,0.00001080299,0.00007047618,0.003046023,0.0000459998,0.0004983636,0.173265,0.7606512,0.06142768],"study_design_scores_gemma":[0.000002516982,0.00001398889,0.0005756214,0.0000497104,0.000003020195,0.00006405327,0.002588063,0.00002211689,0.0001266574,0.01113351,0.9854101,0.00001061558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009400368,0.01623761,0.00721171,0.2472804,0.02899646,0.0000332455,0.0006101281,0.000679596,0.6895505],"genre_scores_gemma":[0.1240025,0.007006127,0.004445386,0.0498473,0.002529222,0.0000603572,0.0005083698,0.0004583633,0.8111424],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03289443,"threshold_uncertainty_score":0.1100428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601743526055328,"score_gpt":0.2748385501443754,"score_spread":0.2388211148838221,"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."}}