{"id":"W1886849212","doi":"","title":"Functional Collaboration as the Implementation of Lonergan's Method, Part 2: “How Might We Implement Functional Collaboration?”","year":2015,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Catholicism and Religious Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fragmentation (computing); Field (mathematics); Epistemology; Sociology; Philosophy; Computer science; Mathematics; Pure mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448698,0.0001615982,0.0004635345,0.000323341,0.0006685806,0.00008396459,0.0002820836,0.00004547671,0.0008632501],"category_scores_gemma":[0.0000417258,0.0001027205,0.0003070972,0.0005538342,0.0002964017,0.0003180621,0.00008879844,0.0001440971,0.000007399667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478964,"about_ca_system_score_gemma":0.000503445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005038674,"about_ca_topic_score_gemma":0.1035094,"domain_scores_codex":[0.9980181,0.0003957194,0.0004878506,0.0001286117,0.000808756,0.0001609236],"domain_scores_gemma":[0.9961234,0.0002745989,0.001236643,0.0002112816,0.002084015,0.00007006223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.007319415,0.0005430413,0.006460596,0.00008654358,0.02087138,0.00002875297,0.3039055,0.049593,0.002130369,0.1608664,0.4458968,0.002298185],"study_design_scores_gemma":[0.00595137,0.0009194161,0.00530097,0.0000308101,0.01226527,0.00004376915,0.6064658,0.001570469,0.0001296299,0.006064405,0.3608928,0.000365302],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201436,0.001334321,0.02101279,0.04684621,0.005530339,0.0006637439,0.0006050456,0.00002777913,0.003836173],"genre_scores_gemma":[0.9930893,0.0007218533,0.0001493152,0.00007406066,0.001433973,4.517558e-7,0.0001087765,0.000008853239,0.004413454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3025603,"threshold_uncertainty_score":0.9451984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291876250010077,"score_gpt":0.2598585224740774,"score_spread":0.2369397599739766,"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."}}