{"id":"W4245711015","doi":"10.1353/nin.2019.0036","title":"Second Chances","year":2019,"lang":"en","type":"article","venue":"Nine","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adventure; History; Media studies; Art history; Visual arts; Art; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001402183,0.001339952,0.0008801272,0.001556379,0.003774013,0.01018036,0.001847617,0.003443894,0.825085],"category_scores_gemma":[0.008048831,0.0005143392,0.0008876434,0.0009621384,0.0009784717,0.004638001,0.006418358,0.004528051,0.6746553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182779,"about_ca_system_score_gemma":0.003468693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858314,"about_ca_topic_score_gemma":0.006671825,"domain_scores_codex":[0.9980485,0.0002279167,0.00008073844,0.0003569552,0.0008872522,0.0003986065],"domain_scores_gemma":[0.9932097,0.000351085,0.0001685113,0.000553254,0.002580977,0.00313649],"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":[0.00002086596,0.00002370442,0.0001315709,0.00004223115,0.000002182277,0.00008953596,0.00005932515,0.00001973298,0.0001314262,0.002616849,0.9653166,0.03154597],"study_design_scores_gemma":[0.000003791678,0.000009916708,0.0001810096,0.00003611782,0.000001113383,0.00008637139,0.00008830427,0.00002383455,0.00004943515,0.0005473624,0.9989681,0.000004652977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009657448,0.00193265,0.001791216,0.01715229,0.04618979,0.0002122751,0.001888939,0.001951792,0.9279152],"genre_scores_gemma":[0.002629047,0.000569279,0.0002538668,0.003451067,0.002526459,0.00007962732,0.0005824973,0.0005486255,0.9893596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.825085,"threshold_uncertainty_score":0.2494949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617833362031213,"score_gpt":0.1834959810210414,"score_spread":0.1673176474007292,"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."}}