{"id":"W4252816845","doi":"10.5589/cjrsyearend33","title":"Contents / Sommaire, Volume 33, 2007","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Geography; Cartography; Physical geography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007614582,0.0008078719,0.0008354628,0.003510017,0.002743246,0.007696066,0.000937578,0.0009274879,0.2509076],"category_scores_gemma":[0.001499853,0.0003640123,0.0004924635,0.002771054,0.001155788,0.002276517,0.001481112,0.00119346,0.1125543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003351755,"about_ca_system_score_gemma":0.005629902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03891964,"about_ca_topic_score_gemma":0.08349454,"domain_scores_codex":[0.9994843,0.00006166199,0.00002317075,0.00007701423,0.0003108353,0.00004301044],"domain_scores_gemma":[0.9990883,0.0001870545,0.000029926,0.0001018784,0.000423658,0.0001692188],"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":[0.00003627488,0.00003963401,0.0003422308,0.0001753049,0.000007205853,0.00003856628,0.0002192852,0.0001532073,0.0007684525,0.00733693,0.8943852,0.09649771],"study_design_scores_gemma":[0.000003842107,0.000007293527,0.0005364888,0.0001241149,0.000008255731,0.00004499825,0.000177108,0.000164303,0.0004448302,0.001662677,0.9968202,0.000005902424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004666822,0.03778551,0.007115748,0.01414086,0.04326079,0.000148209,0.004633501,0.002450812,0.8857977],"genre_scores_gemma":[0.006063271,0.0104249,0.001793381,0.0004420548,0.002621645,0.00002614621,0.001951702,0.0005987177,0.9760782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7490924,"threshold_uncertainty_score":0.8393695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205214656599469,"score_gpt":0.249542347454512,"score_spread":0.2174902008885173,"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."}}