{"id":"W7058459293","doi":"","title":"Newsbrief - IRC collaborates with Canada's wood industry to find alternatives to costly tests","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wood industry; Flammability; Work (physics); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003482606,0.0001537434,0.0001466486,0.0000392309,0.00005339122,0.00006951651,0.0001705779,0.00006639599,0.0004950974],"category_scores_gemma":[0.00001597196,0.0001401915,0.000009372191,0.0005178563,0.00001255663,0.00008709054,0.00001645138,0.0001769645,0.00004988636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550596,"about_ca_system_score_gemma":0.000167404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0133122,"about_ca_topic_score_gemma":0.1700272,"domain_scores_codex":[0.99915,0.00001001196,0.0001334741,0.0001731295,0.0001974133,0.0003359857],"domain_scores_gemma":[0.9994086,0.00002736516,0.00001054802,0.0001970154,0.00005577078,0.0003006952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001926566,0.0001672069,0.07255203,0.00005811066,0.0002606839,0.0003338126,0.001570681,0.3986399,0.2132378,0.000379687,0.1718255,0.140782],"study_design_scores_gemma":[0.002330089,0.0008453359,0.50632,0.0002874134,0.00007000993,0.00004905148,0.0005088932,0.03543117,0.1750334,0.0003653445,0.2765569,0.002202338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871324,0.00001798366,0.00005255984,0.0008124963,0.0000763,0.0001871273,0.00006927185,0.00009448668,0.01155742],"genre_scores_gemma":[0.9967052,0.000004037355,0.001364564,0.0007140378,0.00008849092,0.00003054153,0.000003963726,0.00003246506,0.001056715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.433768,"threshold_uncertainty_score":0.9932582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006624948451376293,"score_gpt":0.2099191544956557,"score_spread":0.2032942060442794,"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."}}