{"id":"W2297036333","doi":"10.1126/science.351.6271.329","title":"Montreal institute going ‘open’ to accelerate science","year":2016,"lang":"en","type":"article","venue":"Science","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open science; Open data; Library science; Political science; Data science; Psychology; Neuroscience; Computer science; World Wide Web; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02265964,0.001126822,0.001031505,0.002810874,0.008413781,0.007906738,0.00338907,0.006153826,0.1212067],"category_scores_gemma":[0.05017315,0.0008465088,0.001524527,0.002316941,0.005394373,0.006279372,0.006461735,0.007482957,0.01910968],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01223565,"about_ca_system_score_gemma":0.05297257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1095792,"about_ca_topic_score_gemma":0.1968432,"domain_scores_codex":[0.9826328,0.004192793,0.0004675309,0.002864301,0.006728409,0.003114154],"domain_scores_gemma":[0.9303485,0.01752127,0.003318873,0.0133019,0.0153304,0.02017899],"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":[0.003059879,0.001894009,0.01592254,0.0005479256,0.0002779819,0.0003840315,0.0009762922,0.0006035022,0.007015722,0.3236101,0.5446417,0.1010663],"study_design_scores_gemma":[0.002151702,0.001854311,0.02984474,0.0002711508,0.0002275756,0.0001964402,0.0004962894,0.0007276097,0.01079709,0.04848634,0.9046575,0.0002892723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0576414,0.003153712,0.01423401,0.1724938,0.01043948,0.002454831,0.02008347,0.004690175,0.7148091],"genre_scores_gemma":[0.4543225,0.002804991,0.05486521,0.05978046,0.003084822,0.003865275,0.0110282,0.001301385,0.4089471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9966109,"threshold_uncertainty_score":0.4054769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08658621409028214,"score_gpt":0.4279518623894133,"score_spread":0.3413656482991312,"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."}}