{"id":"W7002613393","doi":"","title":"Wild Vancouver","year":2007,"lang":"fr","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Line (geometry); Identification (biology); Population","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":[0.0002429879,0.00130573,0.0006582236,0.00227637,0.005136823,0.005628304,0.001262723,0.001222522,0.7711591],"category_scores_gemma":[0.001078038,0.0006351885,0.0004201244,0.002806481,0.0004719536,0.001312424,0.001459558,0.001726382,0.5568944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0044435,"about_ca_system_score_gemma":0.005905828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4202612,"about_ca_topic_score_gemma":0.7745681,"domain_scores_codex":[0.999603,0.00002178513,0.00001057871,0.00008134343,0.0001994048,0.0000839414],"domain_scores_gemma":[0.9991475,0.00005272392,0.00002136139,0.0001035611,0.0005187519,0.0001561757],"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":[0.00004311497,0.00004407205,0.0005922698,0.00006678542,0.000005026449,0.0001122241,0.00007171367,0.00008453127,0.000185066,0.004061848,0.9122003,0.08253299],"study_design_scores_gemma":[0.000009939011,0.00000583896,0.001412326,0.00005185546,0.000003735616,0.00004677692,0.0001177966,0.0001014934,0.0001740242,0.0005571676,0.997511,0.000008007321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005498972,0.0002698487,0.000180368,0.0001646777,0.000127584,0.00003286857,0.005109094,0.0005699782,0.9929958],"genre_scores_gemma":[0.00097092,0.0001289267,0.0001294823,0.00004814654,0.000006321525,0.000009221628,0.00127603,0.0001870902,0.9972439],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7711591,"threshold_uncertainty_score":0.8356299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003702391493969235,"score_gpt":0.1793374198690688,"score_spread":0.1756350283750996,"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."}}