{"id":"W4246694230","doi":"10.4018/ijrcm.20150101.rev","title":"10.4018/ijrcm.20150101.rev","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causative; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001719016,0.001242133,0.0008211941,0.002967399,0.0027679,0.007113284,0.0023828,0.005555786,0.9630858],"category_scores_gemma":[0.003231851,0.0007196221,0.00102016,0.002707201,0.002059408,0.006691815,0.004125201,0.002399473,0.9609653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733098,"about_ca_system_score_gemma":0.00150684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037414,"about_ca_topic_score_gemma":0.004245766,"domain_scores_codex":[0.9989975,0.0001269209,0.0001103961,0.0002511687,0.0003510111,0.0001630352],"domain_scores_gemma":[0.9972333,0.00067297,0.0001897718,0.0006665282,0.000607377,0.0006301109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001067104,0.0001388159,0.0007366797,0.0005514262,0.00001069629,0.00018333,0.000189066,0.0001476179,0.0008957079,0.01651155,0.4944837,0.4860448],"study_design_scores_gemma":[0.000009683102,0.00001816009,0.0005483204,0.000351951,0.000003862368,0.0002228346,0.0001629282,0.0001050743,0.0001402257,0.001542627,0.9968803,0.0000139982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003672421,0.001136529,0.0006479669,0.001133788,0.0007263673,0.00005844733,0.0006841245,0.0007647851,0.9944807],"genre_scores_gemma":[0.001894196,0.0006775953,0.0008231359,0.0005803039,0.0001981307,0.00005040909,0.0005345531,0.0004018602,0.9948398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03691423,"threshold_uncertainty_score":0.05265361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463359485938569,"score_gpt":0.1847112651530974,"score_spread":0.1700776702937117,"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."}}