{"id":"W3216594401","doi":"10.3390/cancers13236033","title":"Pre-Clinical In Vitro Models Used in Cancer Research: Results of a Worldwide Survey","year":2021,"lang":"en","type":"article","venue":"Cancers","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Irish Research Council; European Commission","keywords":"3D cell culture; Cancer; Computer science; Data science; In vitro; Medicine; Medical physics; Biology; Internal 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01977895,0.0003446399,0.0004990178,0.002386692,0.0005597931,0.001848138,0.0005437448,0.0008966104,0.002668671],"category_scores_gemma":[0.03684704,0.0002751235,0.0005861421,0.003408967,0.0007829611,0.001830177,0.00213627,0.000730296,0.001253859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011755,"about_ca_system_score_gemma":0.002337929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001998157,"about_ca_topic_score_gemma":0.001798967,"domain_scores_codex":[0.9801412,0.009617515,0.002989036,0.001141985,0.004850491,0.001259845],"domain_scores_gemma":[0.9488444,0.02083831,0.01304428,0.001969454,0.01277976,0.002523767],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004644083,0.0003829113,0.7783814,0.00459809,0.0001308661,0.0005866765,0.01548457,0.0002689372,0.003312226,0.0009596196,0.01574912,0.1796812],"study_design_scores_gemma":[0.00003069578,0.001256856,0.8124563,0.004031898,0.0002166922,0.002881945,0.0582662,0.0005859449,0.002523292,0.0004064627,0.1172373,0.0001065234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92164,0.04011644,0.005738827,0.008835347,0.0002922213,0.0008023264,0.002916438,0.0000989983,0.01955937],"genre_scores_gemma":[0.9477747,0.04004173,0.002945464,0.004140901,0.0001141681,0.0006474936,0.002067771,0.00008834348,0.002179532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.980221,"threshold_uncertainty_score":0.1046023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2621579931689605,"score_gpt":0.4547613467438256,"score_spread":0.192603353574865,"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."}}