{"id":"W2288209489","doi":"10.1080/00336297.2015.1117002","title":"Interdisciplinarity in Adapted Physical Activity","year":2016,"lang":"en","type":"article","venue":"Quest","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Discipline; Meaning (existential); Engineering ethics; Key (lock); Cross disciplinary; Inclusion (mineral); Incentive; Physical activity; Sociology; Management science; Epistemology; Psychology; Data science; Computer science; Social science; Engineering; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.07643376,0.0006011047,0.001306565,0.003563511,0.009255613,0.01720184,0.002915354,0.00769311,0.003568418],"category_scores_gemma":[0.06886849,0.0007641937,0.0008669966,0.00406105,0.06346856,0.01709061,0.02780298,0.008170325,0.0006048898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007105183,"about_ca_system_score_gemma":0.01138161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090012,"about_ca_topic_score_gemma":0.002066255,"domain_scores_codex":[0.8644313,0.1113672,0.004874492,0.007113798,0.009670345,0.002542851],"domain_scores_gemma":[0.9186739,0.05951686,0.005964661,0.006431825,0.005507563,0.003905115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003563658,0.00007754849,0.002190199,0.0004215006,0.0000356056,0.0004241768,0.1040565,0.0007335918,0.0002894857,0.8629243,0.001296956,0.0275146],"study_design_scores_gemma":[0.00001865648,0.00003922491,0.0009855872,0.0006033544,0.00001056065,0.000236423,0.03124112,0.0005204977,0.000164526,0.9090248,0.05712162,0.00003356659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09997077,0.04660102,0.3231875,0.1804813,0.001854159,0.0007388385,0.0001087051,0.0001803978,0.3468772],"genre_scores_gemma":[0.9529575,0.006950445,0.03127583,0.003901128,0.0003836693,0.0006544182,0.00002962333,0.00005117916,0.003796378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07643376,"threshold_uncertainty_score":0.4042252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197169185499794,"score_gpt":0.4678305881073193,"score_spread":0.3481136695573399,"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."}}