{"id":"W2754296524","doi":"10.17742/image.ld.8.2.9","title":"The Moldy Strategy","year":2017,"lang":"en","type":"article","venue":"Imaginations Journal of Cross-Cultural Image Studies","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002178576,0.0007924096,0.0004682759,0.001475051,0.006503749,0.009270513,0.001066982,0.003471169,0.02402304],"category_scores_gemma":[0.005726732,0.0002788709,0.0005013764,0.0008472311,0.01759785,0.008461366,0.006470744,0.005544774,0.006235778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004480451,"about_ca_system_score_gemma":0.00386671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005521595,"about_ca_topic_score_gemma":0.007575825,"domain_scores_codex":[0.9980912,0.0008420538,0.00005084466,0.0003048399,0.0003839085,0.0003272046],"domain_scores_gemma":[0.9986277,0.0004757229,0.00009963786,0.0003430306,0.0002503219,0.0002036578],"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":[0.000004735464,0.000005789753,0.00004137937,0.000004161542,0.000001248668,0.00001268863,0.0006050987,0.00001789049,0.00002172322,0.9908116,0.005736504,0.002737277],"study_design_scores_gemma":[0.00002203249,0.00001458822,0.0001460014,0.00005345173,0.000004618419,0.00006079832,0.002229907,0.0002931553,0.0002064732,0.7673377,0.2296206,0.00001073445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008929842,0.001108989,0.01237059,0.04005748,0.0009875797,0.00006210896,0.00005528945,0.0001074146,0.9363207],"genre_scores_gemma":[0.5574815,0.0009031884,0.00664966,0.01288809,0.0004744611,0.0002336889,0.00007816116,0.0002599398,0.4210313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02402304,"threshold_uncertainty_score":0.080365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007379677716357,"score_gpt":0.4711721195623617,"score_spread":0.4210983227851981,"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."}}