{"id":"W4362655015","doi":"10.1109/icinc58035.2022.00005","title":"Preface","year":2022,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005068891,0.00001511967,0.00002660067,0.00002068182,0.001002717,0.0000151521,0.0001097235,0.000006220843,0.03909717],"category_scores_gemma":[0.00003676083,0.00001564424,0.00002723952,0.0002005068,0.00004505039,0.00002808977,0.00002186189,0.00004214306,0.00007960055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006347822,"about_ca_system_score_gemma":0.00009554832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223495,"about_ca_topic_score_gemma":0.0121464,"domain_scores_codex":[0.9994835,0.0001459642,0.00004238825,0.00006747079,0.0001888935,0.00007182564],"domain_scores_gemma":[0.9998342,0.00004042707,0.00001026315,0.00007200368,0.00001480751,0.00002833618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009655201,0.0003520665,0.02044176,0.000004575813,0.00004434686,0.00000263542,0.07819978,0.004308159,0.0001355974,0.7648724,0.05038404,0.08124501],"study_design_scores_gemma":[0.00003476679,0.000009865612,0.0006886101,1.498845e-7,0.000005278145,2.88104e-8,0.0221102,0.0004036785,0.00001986118,0.003135598,0.9735487,0.00004332845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.154805,0.00006010671,0.001882009,0.009260652,0.000111228,0.0001231868,0.00000295732,0.0001410558,0.8336138],"genre_scores_gemma":[0.9484201,0.000002112115,0.00003314932,0.0004323792,0.00003360933,0.00001856192,0.000002307996,0.000001009012,0.05105677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9231646,"threshold_uncertainty_score":0.9943427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814595712952538,"score_gpt":0.3091424029495227,"score_spread":0.2909964458199973,"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."}}