{"id":"W2182637721","doi":"10.36510/learnland.v2i1.287","title":"Collage Inquiry: Creative and Particular Applications","year":2008,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Art Education and Development","field":"Arts and Humanities","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subversion; Presentation (obstetrics); Recreation; Psychology; Negotiation; Aesthetics; Mental image; Expression (computer science); Visual arts; Art; Computer science; Sociology; Cognition; Social science; Medicine; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005559433,0.0000661881,0.00008110503,0.00003969879,0.000718196,0.00004799967,0.0000341107,0.00001636138,0.001329169],"category_scores_gemma":[0.00002076957,0.00005468671,0.00001594097,0.00002605769,0.0001085202,0.00006947148,0.00002024288,0.00006764995,0.0002052028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000797447,"about_ca_system_score_gemma":0.00002695433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001499921,"about_ca_topic_score_gemma":0.00003118126,"domain_scores_codex":[0.9995791,0.00002784921,0.00009193819,0.0001200718,0.00007595823,0.0001050238],"domain_scores_gemma":[0.999764,0.0000406131,0.00003731418,0.00005805005,0.00004831979,0.00005166797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001984412,0.0001463119,0.051931,0.00003295314,0.0000805894,0.000009640124,0.7583165,0.0001014299,0.00004564238,0.150673,0.03347668,0.005166367],"study_design_scores_gemma":[0.0001394938,0.00002337058,0.007199448,0.000005651847,0.000006615266,0.000006787376,0.01312056,0.00006980122,0.00003963508,0.0002469867,0.9790483,0.00009334028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.826556,0.0005112211,0.0004563348,0.0009864168,0.0001506582,0.0002394417,0.000002222244,0.0001989492,0.1708988],"genre_scores_gemma":[0.9673693,0.0000808509,0.0001899397,0.0001948833,0.0002634577,0.00008416264,0.00001870461,0.000007894223,0.03179087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9455716,"threshold_uncertainty_score":0.9995837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104677119449179,"score_gpt":0.2508367978684657,"score_spread":0.2197900266739739,"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."}}