{"id":"W6926318492","doi":"10.24443/usi-arc-bib_fcor.5670","title":"Saguenay","year":2005,"lang":"de","type":"other","venue":"USI-Biblioteca","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Period (music); Subject (documents); Context (archaeology); Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008826524,0.001040812,0.0009283735,0.008064524,0.000400387,0.00105622,0.003677467,0.001165152,0.03533782],"category_scores_gemma":[0.0000670344,0.0009936361,0.0005996486,0.01054731,0.0004010779,0.0005995612,0.0009264784,0.001322052,0.0415947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007865445,"about_ca_system_score_gemma":0.0002540356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009184973,"about_ca_topic_score_gemma":0.00005397484,"domain_scores_codex":[0.9948141,0.0003498557,0.0007289461,0.001719083,0.001016052,0.001371951],"domain_scores_gemma":[0.9960707,0.0001863369,0.0005391143,0.002525408,0.0001423261,0.0005360714],"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":[0.00002914883,0.000523582,0.00006944023,0.0001780462,0.0004543284,0.0004160597,0.000970048,0.0001474292,0.0002989211,0.1099897,0.5182518,0.3686715],"study_design_scores_gemma":[0.0006663291,0.0001638416,0.000288708,0.0004411364,0.0000911568,0.00006755262,0.00001583755,0.005582562,0.0004418529,0.004674531,0.9862752,0.001291301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002342327,0.0223301,0.2067541,0.002531002,0.01009746,0.000966895,0.0001042172,0.001120381,0.7558616],"genre_scores_gemma":[0.003046517,0.003829403,0.01942358,0.002894889,0.007810587,0.00004113384,0.00004471375,0.000498103,0.962411],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4680234,"threshold_uncertainty_score":0.9999808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123578284361766,"score_gpt":0.2393815908101337,"score_spread":0.2270237623739571,"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."}}