{"id":"W3163738582","doi":"10.21083/csieci.v14i2.6459","title":"Good Time to Plant Seed","year":2021,"lang":"en","type":"article","venue":"Critical Studies in Improvisation / Études critiques en improvisation","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Improvisation; Humanity; Coronavirus disease 2019 (COVID-19); Value (mathematics); Aesthetics; Environmental ethics; History; Art; Political science; Visual arts; Law; Philosophy; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006519628,0.0002978027,0.0005689575,0.0002791377,0.0001865356,0.00004664301,0.0001196424,0.001508401,0.0002065558],"category_scores_gemma":[0.006191945,0.0002805359,0.0001153964,0.0005281306,0.0003612929,0.0002563952,0.0002013791,0.001452426,0.0001972167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005275756,"about_ca_system_score_gemma":0.0002550835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002717551,"about_ca_topic_score_gemma":0.00004860114,"domain_scores_codex":[0.9975266,0.0001901144,0.0006778872,0.0006487654,0.0003449475,0.0006116409],"domain_scores_gemma":[0.9980903,0.000671453,0.00005253744,0.0003837285,0.0005859624,0.0002160361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001086815,0.002607204,0.005176381,0.003213381,0.0009032066,0.001534283,0.01172884,0.00003490688,0.4676102,0.4273893,0.008454178,0.0702614],"study_design_scores_gemma":[0.01258249,0.008103264,0.1105747,0.004796864,0.00186065,0.002659543,0.03459081,0.009384907,0.6632503,0.02762918,0.1204279,0.004139421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4683634,0.003969204,0.006719479,0.4932675,0.002047707,0.002984925,0.0001429614,0.001671632,0.0208331],"genre_scores_gemma":[0.9833833,0.000636515,0.006137243,0.008116466,0.00029793,0.000184206,0.0001366387,0.0000415427,0.001066162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5150198,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597641050677241,"score_gpt":0.3660789102031772,"score_spread":0.3301024996964048,"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."}}