{"id":"W3013281576","doi":"","title":"News Notes/En manchettes: Canadian camera helps mend FUSE","year":2006,"lang":"en","type":"article","venue":"JRASC","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fuse (electrical); Political science; Computer science; Business; Artificial intelligence; Engineering","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":[0.001297922,0.001301084,0.000566246,0.001813707,0.01096938,0.008189339,0.001379089,0.007767244,0.3169111],"category_scores_gemma":[0.006439881,0.000589343,0.0009954438,0.001675738,0.001492076,0.002093767,0.001822746,0.007652495,0.08336326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01203797,"about_ca_system_score_gemma":0.0220679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8405586,"about_ca_topic_score_gemma":0.9506592,"domain_scores_codex":[0.9982921,0.00007893691,0.0000350052,0.0001023769,0.001006304,0.000485215],"domain_scores_gemma":[0.9958379,0.0003503766,0.00006175978,0.0001778703,0.002707923,0.0008641561],"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":[0.000005580813,0.000002543879,0.00005057942,0.00000487957,6.37703e-7,0.00002030291,0.00002216733,0.000007512885,0.00001849151,0.0003940027,0.997381,0.002092317],"study_design_scores_gemma":[0.00000416394,0.000002852246,0.0002640363,0.00001573281,0.00000238828,0.00001045274,0.0002675956,0.00002189985,0.00004291099,0.0001096559,0.9992514,0.000006902498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001246979,0.003271162,0.0006867486,0.21523,0.06878199,0.0002033784,0.004095423,0.001609351,0.704875],"genre_scores_gemma":[0.003537747,0.00106576,0.0003487024,0.02418199,0.003392847,0.00003042068,0.0006382889,0.0003021749,0.9665021],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3169111,"threshold_uncertainty_score":0.9743434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665053487627597,"score_gpt":0.265724692907085,"score_spread":0.239074158030809,"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."}}