{"id":"W7033680890","doi":"","title":"Safety.net? Care, Charity, and Medical Crowdfunding in Canada","year":2024,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Health care; Welfare; Politics; Personal care; Social media; Moral responsibility; Medical care","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004126754,0.0003928385,0.0004090616,0.0004403049,0.0001523521,0.0001336177,0.0009663822,0.0004393187,0.007514481],"category_scores_gemma":[0.00002519604,0.0004568526,0.00009450444,0.001265694,0.000482296,0.0006084635,0.002041873,0.0007816108,0.0005111744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119177,"about_ca_system_score_gemma":0.0005244863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3095505,"about_ca_topic_score_gemma":0.4419702,"domain_scores_codex":[0.997829,0.00009475345,0.0001539791,0.000854661,0.0005324012,0.000535245],"domain_scores_gemma":[0.9989885,0.00009745609,0.000107764,0.0002924815,0.000002279473,0.0005115054],"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":[0.0001493886,0.00008278382,0.09444081,0.0002191654,0.000120456,0.01224002,0.0003397488,0.0002346141,0.00000111727,0.002682586,0.8812391,0.008250229],"study_design_scores_gemma":[0.0003828758,0.00003849158,0.0007126001,0.0004103858,0.00003656354,0.00002082809,0.0008243627,0.0001290004,0.000001081122,0.0000737919,0.996866,0.0005039935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01291485,0.0002700703,0.00001401559,0.000311577,0.0002582501,0.0002028849,0.0007253518,0.0003708409,0.9849322],"genre_scores_gemma":[0.1819311,0.0001881612,0.0001791517,0.0001836557,0.00007858473,5.918819e-8,0.0002341701,0.0001921076,0.817013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1690162,"threshold_uncertainty_score":0.9997883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00680042601953648,"score_gpt":0.1507123181608387,"score_spread":0.1439118921413022,"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."}}