{"id":"W4396859964","doi":"10.1007/978-3-031-49783-4_11","title":"In-processing","year":2024,"lang":"en","type":"book-chapter","venue":"Springer Actuarial","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001055049,0.001149405,0.0006499001,0.001633686,0.001403569,0.00626013,0.001413679,0.001028145,0.5719425],"category_scores_gemma":[0.005196556,0.0004577495,0.0007442542,0.001904822,0.0005781719,0.003176884,0.00279044,0.001177502,0.4390029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000734076,"about_ca_system_score_gemma":0.001621147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002383608,"about_ca_topic_score_gemma":0.003209522,"domain_scores_codex":[0.999011,0.0001872335,0.00006275999,0.0001874603,0.0004372047,0.0001143208],"domain_scores_gemma":[0.9977532,0.0004890555,0.00006872993,0.0008102972,0.0007612379,0.0001174316],"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":[0.0001259121,0.00005822723,0.0002628672,0.0002446827,0.00001467168,0.0001177893,0.0003071669,0.0006475894,0.002348541,0.04372563,0.5678877,0.3842593],"study_design_scores_gemma":[0.000009408067,0.00001622396,0.0001615611,0.00007025064,0.000008465908,0.00007478113,0.0001498404,0.0009852581,0.002046179,0.01885736,0.9776096,0.00001110018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002063821,0.0007811596,0.05534452,0.002236092,0.002703773,0.0003419889,0.006367348,0.008054266,0.922107],"genre_scores_gemma":[0.01616011,0.0007885154,0.02350646,0.001004652,0.0007335108,0.0002087493,0.007845904,0.00383363,0.9459186],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4280575,"threshold_uncertainty_score":0.610572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04540996980968742,"score_gpt":0.355689924019743,"score_spread":0.3102799542100556,"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."}}