{"id":"W7024686215","doi":"","title":"Sélection et suivi d'indicateurs aviaires potentiels de l'integrité écologique des tourbières et forêts du Grand écosysteme de Kouchibouguac","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Derogation; Context (archaeology); Work (physics); Relation (database)","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":[],"consensus_categories":[],"category_scores_codex":[0.003809462,0.0002666858,0.0002057363,0.001645935,0.003554275,0.003517942,0.0005737828,0.0007483816,0.01476651],"category_scores_gemma":[0.01635502,0.0002142735,0.0002088735,0.001493068,0.001062839,0.001135831,0.001491779,0.001027569,0.001468281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005682231,"about_ca_system_score_gemma":0.005678213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2177344,"about_ca_topic_score_gemma":0.2749228,"domain_scores_codex":[0.9976423,0.001016333,0.0001054178,0.0001547376,0.0006198206,0.000461362],"domain_scores_gemma":[0.9910997,0.003332627,0.001531315,0.0003717869,0.002766164,0.0008984113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002180858,0.0003774826,0.340698,0.0004430188,0.000114096,0.0003965359,0.0792813,0.001111872,0.003518138,0.05046846,0.0449126,0.4764978],"study_design_scores_gemma":[0.00009443651,0.0003340895,0.7666836,0.0002180937,0.00006349492,0.0002035249,0.04778688,0.002502268,0.00374733,0.00391025,0.1743882,0.00006787278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567594,0.001937669,0.00121026,0.00597752,0.0001717193,0.00008478322,0.0009885031,0.00009905179,0.1327713],"genre_scores_gemma":[0.9440293,0.0005899527,0.0006729495,0.0001681537,0.00004022303,0.00005332203,0.000285903,0.00002729809,0.05413298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7822657,"threshold_uncertainty_score":0.432934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005789375098408506,"score_gpt":0.1887487441558361,"score_spread":0.1829593690574276,"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."}}