{"id":"W6894293136","doi":"10.5683/sp3/rf2cwz","title":"Dataset for the publication \"Mass fabrication of PDMS microfluidic devices by injection molding and applications in sensitive 3D spheroid and explant\"","year":2024,"lang":"fr","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Fabrication; Microfluidics; Spheroid; Molding (decorative); PDMS stamp","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":[],"consensus_categories":[],"category_scores_codex":[0.002722255,0.003728754,0.003009509,0.005972568,0.001998853,0.004061005,0.005278839,0.0061845,0.08195978],"category_scores_gemma":[0.01898336,0.0009043248,0.003129296,0.007352091,0.0009228376,0.002018086,0.003613375,0.002869042,0.1167233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870694,"about_ca_system_score_gemma":0.005975839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02427247,"about_ca_topic_score_gemma":0.06092642,"domain_scores_codex":[0.9962341,0.0006437309,0.0006179445,0.001004975,0.001105164,0.0003940749],"domain_scores_gemma":[0.9908943,0.004445615,0.0006940422,0.001353363,0.002078687,0.000533817],"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":[0.0001566677,0.00005424013,0.001199171,0.004456669,0.000110633,0.00008315245,0.00005078007,0.0005297383,0.000470455,0.0007571619,0.9875392,0.004592192],"study_design_scores_gemma":[0.0003152053,0.00005293119,0.004267493,0.001245595,0.0001497631,0.0001883329,0.00009330003,0.0006255356,0.001077235,0.002208051,0.9896926,0.00008390172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001154475,0.000287982,0.0001568123,0.000113499,0.00004782351,0.00001755259,0.9982821,0.0003954473,0.0005833195],"genre_scores_gemma":[0.0002620211,0.0001196915,0.000450133,0.00007794656,0.000006864071,0.000114126,0.9984857,0.00007273703,0.0004108048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08195978,"threshold_uncertainty_score":0.2741828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131434679738203,"score_gpt":0.2514499191360006,"score_spread":0.2401355723386185,"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."}}