{"id":"W2764231514","doi":"10.1186/s13229-017-0163-7","title":"The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally","year":2017,"lang":"en","type":"article","venue":"Molecular Autism","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Medicine, Stanford University; Children's Health Research Institute; Autism Speaks","keywords":"Autism; Computer science; Crowd sourcing; Wireless; Internet privacy; Medicine; Data science; Psychiatry; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009168762,0.0004781813,0.0005027484,0.0002333949,0.001600869,0.00146019,0.00225691,0.0002006584,0.00001465356],"category_scores_gemma":[0.0004829412,0.0004036516,0.0001162407,0.000452469,0.0004640293,0.0003595141,0.001488688,0.0004882689,0.0002209169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473836,"about_ca_system_score_gemma":0.0002242076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005914405,"about_ca_topic_score_gemma":0.004559461,"domain_scores_codex":[0.9950673,0.0006580238,0.0005362994,0.001317154,0.001072172,0.001349067],"domain_scores_gemma":[0.996861,0.0005444542,0.0002809823,0.002001012,0.00001469311,0.0002978199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004921556,0.000697471,0.01650158,0.00180895,0.0001082713,0.03640981,0.005963963,0.0003095085,0.187084,0.7283416,0.001220265,0.0210624],"study_design_scores_gemma":[0.003394887,0.0007678754,0.9296597,0.00092627,0.00002780988,0.001031004,0.0005088497,0.00493943,0.01049233,0.007728836,0.03891164,0.001611331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720663,0.002884779,0.0001075915,0.01795498,0.0005625751,0.003151374,0.0001225308,0.0002842399,0.00286566],"genre_scores_gemma":[0.9976289,0.0003319943,0.0001063934,0.0004628101,0.000009352994,0.0008106794,0.000004739448,0.00007992743,0.0005651884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9131582,"threshold_uncertainty_score":0.9998415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468360207406907,"score_gpt":0.3010195150419161,"score_spread":0.2863359129678471,"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."}}