{"id":"W2982675508","doi":"10.1126/science.366.6465.654","title":"Finding community during coffee breaks","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004091809,0.001133072,0.0007281462,0.001838359,0.02457482,0.01009884,0.002370362,0.003196674,0.1577647],"category_scores_gemma":[0.01328894,0.0007691507,0.0007539187,0.001356486,0.004564664,0.01310111,0.01759581,0.004046789,0.0388765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003109403,"about_ca_system_score_gemma":0.005009609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008622001,"about_ca_topic_score_gemma":0.02645235,"domain_scores_codex":[0.9950846,0.002233973,0.0001120387,0.0006902863,0.0005451352,0.001333957],"domain_scores_gemma":[0.9894983,0.001137158,0.0006443766,0.0007934335,0.001403403,0.006523274],"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":[0.0001673031,0.0002339178,0.003993017,0.0004640666,0.00003300526,0.002269408,0.2397579,0.00008879194,0.001462905,0.02518629,0.6111382,0.1152053],"study_design_scores_gemma":[0.00001548967,0.00004874016,0.001189435,0.0002318748,0.000008312368,0.0002736711,0.1564859,0.0000716725,0.0001592305,0.005066643,0.8364205,0.00002854937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.08726047,0.003685703,0.02090864,0.07088176,0.009634363,0.001426987,0.001591427,0.004548161,0.8000624],"genre_scores_gemma":[0.4515234,0.002060791,0.0138842,0.021894,0.001562149,0.00151678,0.001609544,0.002679917,0.5032693],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1577647,"threshold_uncertainty_score":0.5277755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073173901602973,"score_gpt":0.3010870566235092,"score_spread":0.2803553176074794,"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."}}