{"id":"W6947468207","doi":"10.4224/21274828","title":"Conseil national de recherches Canada : rapport annuel 2008-2009","year":2009,"lang":"fr","type":"report","venue":"National Research Council Canada (Government of Canada)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Work (physics); Public policy","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05021832,0.000663935,0.0007440003,0.00007417906,0.0008887845,0.000111784,0.00129826,0.0004989662,0.01827997],"category_scores_gemma":[0.1088767,0.0007719242,0.0001451935,0.001055711,0.0007427163,0.0002217502,0.0003194017,0.001675775,0.000005327338],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.8477109,"about_ca_system_score_gemma":0.9712406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997616,"about_ca_topic_score_gemma":0.9999878,"domain_scores_codex":[0.6882784,0.0004664458,0.001048922,0.0008289651,0.3077742,0.001603054],"domain_scores_gemma":[0.9342759,0.001891714,0.0007933767,0.0005000568,0.06109331,0.001445699],"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":[0.000134379,0.000171474,0.0004671788,0.0001590793,0.0001494812,0.0003105827,0.00002756742,0.0005308254,0.0006812851,0.00117906,0.9938159,0.00237318],"study_design_scores_gemma":[0.000521287,0.00009098462,0.04335298,0.0001316036,0.00002887542,0.00009765145,0.001851576,0.0004171575,0.0008062966,0.0003790963,0.9516894,0.0006331413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001693601,0.002026831,0.00000915751,0.02429296,0.0009713605,0.0006288532,0.01397395,0.00001013823,0.9563931],"genre_scores_gemma":[0.6383764,0.002765707,0.00009991919,0.005480201,0.0005749582,0.0001582927,0.0001597278,0.00008337141,0.3523015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6366827,"threshold_uncertainty_score":0.9994732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2765201898833446,"score_gpt":0.3311264439146799,"score_spread":0.05460625403133523,"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."}}