{"id":"W7005185064","doi":"","title":"Profile of census tracts in Québec, 2006 Census : map volume","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Volume (thermodynamics); Field (mathematics); Population; Data collection","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":[],"consensus_categories":[],"category_scores_codex":[0.0003718721,0.0008348643,0.0006527621,0.005083354,0.001441173,0.001247258,0.00144017,0.0005160467,0.06349883],"category_scores_gemma":[0.002497608,0.0005875698,0.0005456237,0.01454347,0.0002577448,0.0007240729,0.0005608936,0.0007887249,0.01465683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01375819,"about_ca_system_score_gemma":0.02885086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916311,"about_ca_topic_score_gemma":0.995406,"domain_scores_codex":[0.9995524,0.00003021642,0.00004213077,0.00008919355,0.0001710363,0.0001149986],"domain_scores_gemma":[0.9979351,0.00007860598,0.000185346,0.00006717501,0.00149806,0.0002357796],"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":[0.00008524007,0.00003744175,0.04934285,0.0005234216,0.00005272761,0.00006347136,0.0002770383,0.0008225014,0.0001930862,0.0007904474,0.9190521,0.02875967],"study_design_scores_gemma":[0.00005734503,0.00001961288,0.6361032,0.000404101,0.00003708814,0.0001238206,0.0005508742,0.001614264,0.0001686103,0.0001611384,0.3607215,0.00003828976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008211459,0.0009510355,0.0003407152,0.0002568875,0.00004491986,0.0001795297,0.9737202,0.0003307017,0.01596455],"genre_scores_gemma":[0.08038368,0.003423496,0.003373708,0.0004264866,0.00004399732,0.0006989172,0.7768822,0.0002404378,0.1345271],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06349883,"threshold_uncertainty_score":0.2124248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004582872501054695,"score_gpt":0.1703475310577583,"score_spread":0.1657646585567036,"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."}}