{"id":"W2034851080","doi":"10.1162/leon_a_00481","title":"Mobiles, Molecules and the Coalescence of Processes","year":2012,"lang":"en","type":"article","venue":"Leonardo","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Relevance (law); Cognitive science; Computer science; Coalescence (physics); Human–computer interaction; Data science; Psychology; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002975571,0.00005191427,0.00008734834,0.00001524391,0.0001304727,0.00005887503,0.0001065695,0.00002247986,0.00008013966],"category_scores_gemma":[0.0001564635,0.00003058762,0.00001706596,0.0000177907,0.0004206477,0.0002413406,0.00003298039,0.00009993068,0.000005041881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002283233,"about_ca_system_score_gemma":0.00001411127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001193638,"about_ca_topic_score_gemma":0.00002349717,"domain_scores_codex":[0.9995903,0.00003009932,0.0001022945,0.00005524227,0.00009723837,0.0001248082],"domain_scores_gemma":[0.9996188,0.0001770699,0.00005682639,0.00006612498,0.00005459488,0.00002652664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001763648,0.0000195751,0.004584072,0.0001622565,0.00001060854,2.217379e-7,0.05108425,0.000001246019,0.0000222672,0.9360227,0.004921565,0.003153621],"study_design_scores_gemma":[0.0007839559,0.00002929597,0.001743515,0.000224606,0.00004750335,0.00001927326,0.07242719,0.00006785728,0.0006077113,0.005958949,0.9178506,0.0002395917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71163,0.04712235,0.0001437569,0.01098237,0.000493138,0.0003453456,0.00005209266,0.0001323492,0.2290986],"genre_scores_gemma":[0.9978039,0.0001524308,0.00003572022,0.0003214914,0.0005108295,0.000008630652,0.000002058325,0.000005320293,0.001159629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9300637,"threshold_uncertainty_score":0.1549894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949039854535127,"score_gpt":0.2100545867748645,"score_spread":0.1905641882295132,"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."}}