{"id":"W7005502695","doi":"","title":"Queer Inclusivity Mapped in Montréal","year":2024,"lang":"it","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Queer; Variety (cybernetics); Perspective (graphical); Space (punctuation); Focus (optics); Focus group; Public space; Inclusion (mineral)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005381469,0.000188178,0.0002038502,0.001309157,0.006360807,0.002299928,0.0005556809,0.0002813329,0.01197937],"category_scores_gemma":[0.0009897702,0.0001210115,0.0001724724,0.002536552,0.002947139,0.0007278024,0.001490218,0.0006147004,0.0002258761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02829465,"about_ca_system_score_gemma":0.01538651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9744328,"about_ca_topic_score_gemma":0.992405,"domain_scores_codex":[0.9996352,0.00009066002,0.00000605149,0.00007192922,0.00009204671,0.0001041027],"domain_scores_gemma":[0.9994807,0.0001093017,0.00006418275,0.00001949272,0.0001762717,0.0001501211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005485061,0.0001623761,0.122153,0.000638788,0.00007989912,0.002163689,0.6619817,0.0006554346,0.01521213,0.03902746,0.02935364,0.1280234],"study_design_scores_gemma":[0.0000197083,0.0001563993,0.3568972,0.0002263252,0.00004459509,0.0001882804,0.4241284,0.0004358866,0.001651602,0.00111888,0.2150394,0.00009332945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9011332,0.001562724,0.0006979256,0.003008096,0.00003859466,0.0001691158,0.001682982,0.00006772509,0.09163958],"genre_scores_gemma":[0.9739952,0.0009056438,0.0003819619,0.0002637012,0.000006814521,0.00004287477,0.0002586997,0.00001962298,0.02412546],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02829465,"threshold_uncertainty_score":0.205293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851786098956471,"score_gpt":0.2700324311918627,"score_spread":0.241514570202298,"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."}}