{"id":"W3127763486","doi":"10.1007/s10676-020-09567-7","title":"The CLAIRE COVID-19 initiative: approach, experiences and recommendations","year":2021,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Repurposing; Coronavirus disease 2019 (COVID-19); Pace; Leverage (statistics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Context (archaeology); Data science; Citizen science; Robotics; Computer science; Artificial intelligence; Engineering ethics; Knowledge management; Engineering; Medicine; Infectious disease (medical specialty); Robot","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":[0.0005721181,0.00007045044,0.0001079175,0.0001484703,0.0007871899,0.00007759866,0.00005796066,0.0002652336,0.00002807243],"category_scores_gemma":[0.005704245,0.00005288417,0.00001506701,0.0003646959,0.0004950608,0.0003737114,0.0001127268,0.000651163,0.000004421393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004862111,"about_ca_system_score_gemma":0.0005081185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001362968,"about_ca_topic_score_gemma":0.00001512199,"domain_scores_codex":[0.9993769,0.00005861451,0.0002271624,0.0001040509,0.0001194308,0.000113823],"domain_scores_gemma":[0.998713,0.0007506007,0.00009534424,0.0001832963,0.0001867313,0.00007106761],"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":[0.00003689238,0.00008667915,0.002165847,0.0004272026,0.00007431383,0.000006821971,0.1160596,0.000008563381,0.00006012046,0.688458,0.04289756,0.1497184],"study_design_scores_gemma":[0.000453647,0.00006702082,0.0003490236,0.000028331,0.00001289469,0.0001104263,0.07806326,0.0008196266,0.0005265056,0.005960554,0.913538,0.00007073094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01724937,0.000788903,0.008010959,0.9718381,0.000117419,0.0002069372,0.000007245526,0.0001664978,0.001614579],"genre_scores_gemma":[0.7965565,0.01005582,0.005332207,0.1875725,0.00003215727,0.0002504688,0.0001086034,0.000007349119,0.00008442024],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8706404,"threshold_uncertainty_score":0.6828926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06826673236113259,"score_gpt":0.3800813403468433,"score_spread":0.3118146079857107,"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."}}