{"id":"W4399189487","doi":"10.1515/9782760624832-fm","title":"Front Matter","year":2006,"lang":"en","type":"paratext","venue":"Les Presses de l'Université de Montréal eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bibliothèque et Archives nationales du Québec; Library and Archives Canada","funders":"","keywords":"Front (military); Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004462478,0.001663582,0.0008687733,0.001395431,0.002239062,0.005831329,0.001186164,0.004031565,0.9552563],"category_scores_gemma":[0.001431462,0.0005023147,0.0005715197,0.001134372,0.001155258,0.002158437,0.001983359,0.001546495,0.9399884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018887,"about_ca_system_score_gemma":0.001529459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006581464,"about_ca_topic_score_gemma":0.01022763,"domain_scores_codex":[0.9996439,0.00002468254,0.0000124961,0.0001081262,0.0001240062,0.00008668125],"domain_scores_gemma":[0.9990935,0.0001528552,0.0000497914,0.00009038735,0.000269731,0.0003436476],"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":[0.00009577024,0.00008399408,0.0003795058,0.0002537427,0.000008951092,0.0002319952,0.00012502,0.00007365781,0.001224586,0.005055772,0.8158848,0.1765822],"study_design_scores_gemma":[0.00001616101,0.00001973842,0.0006226645,0.00009304206,0.00000409862,0.00009448239,0.0001053062,0.0000390987,0.0001840733,0.0004350897,0.9983815,0.000004629761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005832763,0.0004659851,0.0002330265,0.001414694,0.001391964,0.00003815861,0.001188876,0.0004765237,0.9942075],"genre_scores_gemma":[0.0007892597,0.0001567233,0.00007331572,0.0002259125,0.00008623598,0.000007755963,0.0002073998,0.00005103075,0.9984023],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04474372,"threshold_uncertainty_score":0.06382149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006877126801717579,"score_gpt":0.1850008083422437,"score_spread":0.1781236815405262,"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."}}