{"id":"W4412340928","doi":"","title":"From smartphone supported Citizen Health Science to Cooperative Citizen Test Lab","year":2022,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Citizen science; Test (biology); Health science; Smartphone app; Political science; Computer science; Human–computer interaction; Medical education; Medicine; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02416077,0.001092926,0.001087464,0.001900824,0.002387423,0.007489129,0.00403042,0.004811659,0.02356237],"category_scores_gemma":[0.02463214,0.0007824207,0.001025431,0.001441308,0.005171238,0.007914432,0.02453472,0.004076425,0.01017228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002066972,"about_ca_system_score_gemma":0.005274747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020488,"about_ca_topic_score_gemma":0.002167634,"domain_scores_codex":[0.9755402,0.01679264,0.0005810333,0.002890216,0.002699206,0.001496774],"domain_scores_gemma":[0.96785,0.01222507,0.001351415,0.008251906,0.004805853,0.005515632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002551891,0.002649852,0.02303215,0.003098737,0.0003684178,0.001659633,0.03364452,0.004628477,0.02088099,0.07085076,0.1874263,0.6492081],"study_design_scores_gemma":[0.0005986086,0.002512184,0.01337234,0.002148026,0.0001309103,0.0009774426,0.02996862,0.01474839,0.009114904,0.1417648,0.7843513,0.0003124571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1308406,0.007693741,0.5016593,0.1110576,0.003379164,0.005428261,0.006162293,0.01404359,0.2197354],"genre_scores_gemma":[0.6481053,0.003512175,0.2743978,0.01856521,0.001499774,0.006703486,0.004789708,0.001661461,0.04076504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9959696,"threshold_uncertainty_score":0.1277759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644749518310297,"score_gpt":0.3579335685966696,"score_spread":0.3314860734135666,"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."}}