{"id":"W7071356355","doi":"","title":"61 - Spooky Hysteresis","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"USB; Hysteresis; Squid; Code (set theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002804114,0.0003628835,0.0007474347,0.0007741927,0.001482735,0.00174735,0.001242131,0.001048785,0.1523187],"category_scores_gemma":[0.001777029,0.0002945864,0.0005094565,0.000450932,0.00113455,0.002336492,0.001960418,0.001138989,0.02294433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007726766,"about_ca_system_score_gemma":0.0005263687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009905961,"about_ca_topic_score_gemma":0.001172291,"domain_scores_codex":[0.9996139,0.00004263965,0.00001087735,0.00008706057,0.0001492893,0.00009622858],"domain_scores_gemma":[0.9995875,0.00006109224,0.00002707939,0.0001511304,0.00009789979,0.00007528863],"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":[0.0004500402,0.0001837884,0.001569272,0.000432984,0.00007204647,0.0006800643,0.0004203189,0.004824632,0.02086329,0.5756638,0.2723618,0.122478],"study_design_scores_gemma":[0.0001184819,0.0002076775,0.003370801,0.0002330548,0.00004817115,0.001385224,0.0005664295,0.05332077,0.01232594,0.414324,0.5139739,0.0001255573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05137644,0.003482797,0.07135622,0.004225481,0.004798341,0.0001192173,0.001395239,0.005632548,0.8576138],"genre_scores_gemma":[0.6524973,0.001574162,0.008834548,0.002646241,0.0008470524,0.0001976836,0.001763785,0.002486383,0.3291528],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1523187,"threshold_uncertainty_score":0.5095568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007233635273868721,"score_gpt":0.2096786942787753,"score_spread":0.2024450590049066,"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."}}