{"id":"W3215727830","doi":"10.1037/pha0000541","title":"Beyond online participant crowdsourcing: The benefits and opportunities of big team addiction science.","year":2022,"lang":"en","type":"article","venue":"Experimental and Clinical Psychopharmacology","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Crowdsourcing; Addiction; Big data; Grassroots; Intervention (counseling); Population; Citizen science; Empirical research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00127565,0.0001359176,0.0002490274,0.0001009285,0.0008526137,0.00006075896,0.000469965,0.00003964643,0.00006582271],"category_scores_gemma":[0.00002611092,0.0001048671,0.0000681824,0.0002468881,0.001211487,0.0001291386,0.0008069859,0.0003179477,9.975997e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002444901,"about_ca_system_score_gemma":0.00009599462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154606,"about_ca_topic_score_gemma":0.000001369394,"domain_scores_codex":[0.9981685,0.0002457687,0.0005123446,0.0004788949,0.0002898657,0.0003046264],"domain_scores_gemma":[0.9990277,0.0002679272,0.0001950915,0.0002754359,0.00004390894,0.0001898954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006250257,0.003622249,0.004391364,0.00001676521,0.000267612,0.0000425427,0.008474709,0.0003801701,0.1510855,0.03645441,0.0133284,0.7813113],"study_design_scores_gemma":[0.03718771,0.02684125,0.09208279,0.0001977487,0.0009445755,0.002349439,0.07855462,0.2562846,0.269977,0.009336033,0.2222199,0.004024365],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905787,0.004270029,0.0001536575,0.001978844,0.002024504,0.0001751013,0.00001279033,0.00004949174,0.000756881],"genre_scores_gemma":[0.9967126,0.0001907968,0.000205772,0.002577117,0.0001816056,0.00003313636,0.000002210269,0.000007950031,0.0000888746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7772869,"threshold_uncertainty_score":0.6557702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027012312634266,"score_gpt":0.3817873964303959,"score_spread":0.2790861651669693,"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."}}