{"id":"W4389370019","doi":"10.32920/24759675.v1","title":"Out North: An Archive of Queer Activism and Kinship in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Queer; Kinship; Documentation; Gender studies; Genealogy; History; Sociology; Political science; Anthropology","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":[0.001026898,0.0006676885,0.0006771745,0.01045505,0.01532219,0.007529589,0.001656375,0.0007170311,0.03976501],"category_scores_gemma":[0.005920485,0.0005625391,0.0003958775,0.03408634,0.001914398,0.001645835,0.003178976,0.00146361,0.005589646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05720174,"about_ca_system_score_gemma":0.1454852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972326,"about_ca_topic_score_gemma":0.9990212,"domain_scores_codex":[0.998601,0.00007958807,0.00005181038,0.0001357342,0.0007037558,0.0004281031],"domain_scores_gemma":[0.9917418,0.0007448742,0.0003029677,0.0007137442,0.005135321,0.001361322],"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":[0.0003163711,0.00007293653,0.0269394,0.0006344778,0.00008131182,0.0009055909,0.04188766,0.0007264792,0.001383853,0.01877305,0.8001518,0.108127],"study_design_scores_gemma":[0.00001333431,0.000008783897,0.07143286,0.0003070828,0.00002844599,0.0001132606,0.01850786,0.0002951142,0.0007567291,0.001339216,0.9071156,0.00008163109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07165841,0.004110142,0.002626595,0.005703549,0.0005502819,0.0003232307,0.7315232,0.001800067,0.1817046],"genre_scores_gemma":[0.3160478,0.008100048,0.009052143,0.001483795,0.0002332795,0.0004264936,0.3244031,0.002512303,0.3377409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05720174,"threshold_uncertainty_score":0.4150296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07905216174221955,"score_gpt":0.3254812848953377,"score_spread":0.2464291231531182,"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."}}