{"id":"W7097178660","doi":"","title":"Skating on thin ice: Rule changes and team strategies in the NHL, Canadian","year":2007,"lang":"en","type":"article","venue":"","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Identification (biology)","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":[],"consensus_categories":[],"category_scores_codex":[0.000967329,0.00007222554,0.0001134968,0.0002104355,0.0001026164,0.0001167523,0.0001051545,0.00004676247,0.000242206],"category_scores_gemma":[0.00001328496,0.0000569543,0.00001491919,0.0001463928,0.00002327116,0.00008989829,0.000008453228,0.0001153258,0.00005056413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003872402,"about_ca_system_score_gemma":0.00002109272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1296811,"about_ca_topic_score_gemma":0.5774814,"domain_scores_codex":[0.9994007,0.000002041509,0.0001902474,0.000148423,0.00002212219,0.0002364363],"domain_scores_gemma":[0.9997069,0.00003485432,0.00006427084,0.0001337874,0.000006758054,0.0000533887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004299847,0.00002427163,0.2615722,0.00001337298,0.000008837402,0.00001135041,0.00322799,0.0003473854,0.00000145256,0.7290401,0.001564205,0.00418454],"study_design_scores_gemma":[0.0002845802,0.0001034965,0.80439,0.00002039891,0.000002210931,0.000005867563,0.009156163,0.01771257,0.00002482569,0.01529317,0.1527068,0.0002999788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6348159,0.0003322828,0.00004322518,0.001205263,0.00007625452,0.00006576903,0.00001108887,0.000005739752,0.3634444],"genre_scores_gemma":[0.997017,0.0001588441,0.00007033098,0.001753373,0.00008277981,0.000002630994,0.00000399012,0.000005996656,0.0009051129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137469,"threshold_uncertainty_score":0.8761144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898606639794919,"score_gpt":0.2296691913651414,"score_spread":0.2006831249671922,"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."}}