{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002773497,0.0002920041,0.0004221096,0.002250379,0.03034003,0.008252273,0.001861982,0.001477496,0.006784962],"category_scores_gemma":[0.009012082,0.0003310251,0.0003810512,0.006498553,0.01086692,0.002085397,0.005093534,0.003879044,0.000246028],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2805985,"about_ca_system_score_gemma":0.4036613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987671,"about_ca_topic_score_gemma":0.999408,"domain_scores_codex":[0.9954851,0.0006916437,0.0000924331,0.0003279552,0.001302809,0.002100183],"domain_scores_gemma":[0.98965,0.001983357,0.0008198506,0.0001987817,0.003095359,0.004252747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001970325,0.0001936426,0.1076951,0.0006083553,0.00006000713,0.001863246,0.5061395,0.0008742923,0.000601191,0.1749891,0.131577,0.07520149],"study_design_scores_gemma":[0.0000242943,0.00004053928,0.09365202,0.0007754434,0.00004133959,0.0001900137,0.5868391,0.0007731923,0.0002822374,0.004777993,0.3124643,0.0001394206],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7116575,0.006398643,0.0008980501,0.1385367,0.0005892786,0.0002092912,0.002632628,0.00009550056,0.1389825],"genre_scores_gemma":[0.9772403,0.002722217,0.0005168781,0.005258165,0.00003971557,0.00004485991,0.0002948177,0.00003319084,0.01384991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805985,"threshold_uncertainty_score":0.8344038,"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."}}