{"id":"W7055391216","doi":"","title":"Canada Day 150 to compete with Expo 67","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Joins; Competition (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009165168,0.0004930136,0.0003084886,0.0008497447,0.01245562,0.008774176,0.001087434,0.003598816,0.3256755],"category_scores_gemma":[0.002619741,0.0003001327,0.0004512203,0.0009334846,0.00147126,0.00206498,0.002877745,0.00335353,0.123549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01269527,"about_ca_system_score_gemma":0.03596136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7504656,"about_ca_topic_score_gemma":0.9290071,"domain_scores_codex":[0.9985495,0.00003834829,0.00001372954,0.00007862911,0.0007624193,0.0005574012],"domain_scores_gemma":[0.9961426,0.00007724566,0.00003246126,0.00008864708,0.001388939,0.00227031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009712097,0.0000103595,0.0002251377,0.000007537923,8.266706e-7,0.00004109662,0.00006582797,0.000008058718,0.00009181406,0.001661121,0.9926646,0.005213792],"study_design_scores_gemma":[0.000002570685,0.000005220649,0.0008347942,0.0000145372,6.455959e-7,0.00001785512,0.0005192922,0.0000136777,0.0000614422,0.0001527791,0.9983713,0.000006007853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004314953,0.001179159,0.0003239311,0.03558666,0.007360309,0.0001102082,0.002062971,0.0006096527,0.9484522],"genre_scores_gemma":[0.009133751,0.0004182497,0.0001575815,0.005931311,0.0002615285,0.000028836,0.0007498304,0.000252251,0.9830667],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3256755,"threshold_uncertainty_score":0.9618421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004471984378547441,"score_gpt":0.1596691411421675,"score_spread":0.1551971567636201,"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."}}